ChangeLog#

[2024-03-06]#

llama-index-cli [0.1.8]#

  • Update mappings for upgrade command (#11699)

llama-index-vector-stores-astra-db [0.1.4]#

  • Update wording in warning message (#11702)

llama-index-vector-stores-qdrant [0.1.4]#

  • Catch RPC errors (#11657)

llama-index-vector-stores-opensearch [0.1.7]#

  • Avoid calling nest_asyncio.apply() in code to avoid confusing errors for users (#11707)

llama-index-multi-modal-llms-anthropic [0.1.2]#

  • Added support for new multi-modal models haiku and sonnet (#11656)

llama-index-readers-file [0.1.8]#

  • Added support for checking if NLTK files are already downloaded (#11676)

llama-index-readers-json [0.1.4]#

  • Use the metadata passed in when creating documents (#11626)

llama-index-packs-finchat [0.1.0]#

  • Added a new llama-pack for hierarchical agents + finance chat (#11387)

[0.10.16] - 2024-03-05#

New Features#

  • Anthropic support for new models (#11623, #11612)

  • Easier creation of chat prompts (#11583)

  • Added a raptor retriever llama-pack (#11527)

  • Improve batch cohere embeddings through bedrock (#11572)

  • Added support for vertex AI embeddings (#11561)

Bug Fixes / Nits#

  • Ensure order in async embeddings generation (#11562)

  • Fixed empty metadata for csv reader (#11563)

  • Serializable fix for composable retrievers (#11617)

  • Fixed milvus metadata filter support (#11566)

  • FIxed pydantic import in clickhouse vector store (#11631)

  • Fixed system prompts for gemini/vertext-gemini (#11511)

[0.10.15] - 2024-03-01#

New Features#

  • Added FeishuWikiReader (#11491)

  • Added videodb retriever integration (#11463)

  • Added async to opensearch vector store (#11513)

  • New LangFuse one-click callback handler (#11324)

Bug Fixes / Nits#

  • Fixed deadlock issue with async chat streaming (#11548)

  • Improved hidden file check in SimpleDirectoryReader (#11496)

  • Fixed null values in document metadata when using SimpleDirectoryReader (#11501)

  • Fix for sqlite utils in jsonalyze query engine (#11519)

  • Added base url and timeout to ollama multimodal LLM (#11526)

  • Updated duplicate handling in query fusion retriever (#11542)

  • Fixed bug in kg indexx struct updating (#11475)

[0.10.14] - 2024-02-28#

New Features#

  • Released llama-index-networks (#11413)

  • Jina reranker (#11291)

  • Added DuckDuckGo agent search tool (#11386)

  • helper functions for chatml (#10272)

  • added brave search tool for agents (#11468)

  • Added Friendli LLM integration (#11384)

  • metadata only queries for chromadb (#11328)

Bug Fixes / Nits#

  • Fixed inheriting llm callback in synthesizers (#11404)

  • Catch delete error in milvus (#11315)

  • Fixed pinecone kwargs issue (#11422)

  • Supabase metadata filtering fix (#11428)

  • api base fix in gemini embeddings (#11393)

  • fix elasticsearch vector store await (#11438)

  • vllm server cuda fix (#11442)

  • fix for passing LLM to context chat engine (#11444)

  • set input types for cohere embeddings (#11288)

  • default value for azure ad token (#10377)

  • added back prompt mixin for react agent (#10610)

  • fixed system roles for gemini (#11481)

  • fixed mean agg pooling returning numpy float values (#11458)

  • improved json path parsing for JSONQueryEngine (#9097)

[0.10.13] - 2024-02-26#

New Features#

  • Added a llama-pack for KodaRetriever, for on-the-fly alpha tuning (#11311)

  • Added support for mistral-large (#11398)

  • Last token pooling mode for huggingface embeddings models like SFR-Embedding-Mistral (#11373)

  • Added fsspec support to SimpleDirectoryReader (#11303)

Bug Fixes / Nits#

  • Fixed an issue with context window + prompt helper (#11379)

  • Moved OpenSearch vector store to BasePydanticVectorStore (#11400)

  • Fixed function calling in fireworks LLM (#11363)

  • Made cohere embedding types more automatic (#11288)

  • Improve function calling in react agent (#11280)

  • Fixed MockLLM imports (#11376)

[0.10.12] - 2024-02-22#

New Features#

  • Added llama-index-postprocessor-colbert-rerank package (#11057)

  • MyMagicAI LLM (#11263)

  • MariaTalk LLM (#10925)

  • Add retries to github reader (#10980)

  • Added FireworksAI embedding and LLM modules (#10959)

Bug Fixes / Nits#

  • Fixed string formatting in weaviate (#11294)

  • Fixed off-by-one error in semantic splitter (#11295)

  • Fixed download_llama_pack for multiple files (#11272)

  • Removed BUILD files from packages (#11267)

  • Loosened python version reqs for all packages (#11267)

  • Fixed args issue with chromadb (#11104)

[0.10.11] - 2024-02-21#

Bug Fixes / Nits#

  • Fixed multi-modal LLM for async acomplete (#11064)

  • Fixed issue with llamaindex-cli imports (#11068)

[0.10.10] - 2024-02-20#

I’m still a bit wonky with our publishing process – apologies. This is just a version bump to ensure the changes that were supposed to happen in 0.10.9 actually did get published. (AF)

[0.10.9] - 2024-02-20#

  • add llama-index-cli dependency

[0.10.7] - 2024-02-19#

New Features#

  • Added Self-Discover llamapack (#10951)

Bug Fixes / Nits#

  • Fixed linting in CICD (#10945)

  • Fixed using remote graph stores (#10971)

  • Added missing LLM kwarg in NoText response synthesizer (#10971)

  • Fixed openai import in rankgpt (#10971)

  • Fixed resolving model name to string in openai embeddings (#10971)

  • Off by one error in sentence window node parser (#10971)

[0.10.6] - 2024-02-17#

First, apologies for missing the changelog the last few versions. Trying to figure out the best process with 400+ packages.

At some point, each package will have a dedicated changelog.

But for now, onto the “master” changelog.

New Features#

  • Added NomicHFEmbedding (#10762)

  • Added MinioReader (#10744)

Bug Fixes / Nits#

  • Various fixes for clickhouse vector store (#10799)

  • Fix index name in neo4j vector store (#10749)

  • Fixes to sagemaker embeddings (#10778)

  • Fixed performance issues when splitting nodes (#10766)

  • Fix non-float values in reranker + b25 (#10930)

  • OpenAI-agent should be a dep of openai program (#10930)

  • Add missing shortcut imports for query pipeline components (#10930)

  • Fix NLTK and tiktoken not being bundled properly with core (#10930)

  • Add back llama_index.core.__version__ (#10930)

[0.10.3] - 2024-02-13#

Bug Fixes / Nits#

  • Fixed passing in LLM to as_chat_engine (#10605)

  • Fixed system prompt formatting for anthropic (#10603)

  • Fixed elasticsearch vector store error on __version__ (#10656)

  • Fixed import on openai pydantic program (#10657)

  • Added client back to opensearch vector store exports (#10660)

  • Fixed bug in SimpleDirectoryReader not using file loaders properly (#10655)

  • Added lazy LLM initialization to RankGPT (#10648)

  • Fixed bedrock embedding from_credentials passing ing the model name (#10640)

  • Added back recent changes to TelegramReader (#10625)

[0.10.0, 0.10.1] - 2024-02-12#

Breaking Changes#

  • Several changes are introduced. See the full blog post for complete details.

[0.9.48] - 2024-02-12#

Bug Fixes / Nits#

  • Add back deprecated API for BedrockEmbdding (#10581)

[0.9.47] - 2024-02-11#

Last patch before v0.10!

New Features#

  • add conditional links to query pipeline (#10520)

  • refactor conditional links + add to cookbook (#10544)

  • agent + query pipeline cleanups (#10563)

Bug Fixes / Nits#

  • Add sleep to fix lag in chat stream (#10339)

  • OllamaMultiModal kwargs (#10541)

  • Update Ingestion Pipeline to handle empty documents (#10543)

  • Fixing minor spelling error (#10516)

  • fix elasticsearch async check (#10549)

  • Docs/update slack demo colab (#10534)

  • Adding the possibility to use the IN operator for PGVectorStore (#10547)

  • fix agent reset (#10562)

  • Fix MD duplicated Node id from multiple docs (#10564)

[0.9.46] - 2024-02-08#

New Features#

  • Update pooling strategy for embedding models (#10536)

  • Add Multimodal Video RAG example (#10530)

  • Add SECURITY.md (#10531)

  • Move agent module guide up one-level (#10519)

Bug Fixes / Nits#

  • Deeplake fixes (#10529)

  • Add Cohere section for llamaindex (#10523)

  • Fix md element (#10510)

[0.9.45.post1] - 2024-02-07#

New Features#

  • Upgraded deeplake vector database to use BasePydanticVectorStore (#10504)

Bug Fixes / Nits#

  • Fix MD parser for inconsistency tables (#10488)

  • Fix ImportError for pypdf in MetadataExtractionSEC.ipynb (#10491)

[0.9.45] - 2024-02-07#

New Features#

  • Refactor: add AgentRunner.from_llm method (#10452)

  • Support custom prompt formatting for non-chat LLMS (#10466)

  • Bump cryptography from 41.0.7 to 42.0.0 (#10467)

  • Add persist and load method for Colbert Index (#10477)

  • Allow custom agent to take in user inputs (#10450)

Bug Fixes / Nits#

  • remove exporter from arize-phoenix global callback handler (#10465)

  • Fixing Dashscope qwen llm bug (#10471)

  • Fix: calling AWS Bedrock models (#10443)

  • Update Azure AI Search (fka Azure Cognitive Search) vector store integration to latest client SDK 11.4.0 stable + updating jupyter notebook sample (#10416)

  • fix some imports (#10485)

[0.9.44] - 2024-02-05#

New Features#

  • ollama vision cookbook (#10438)

  • Support Gemini “transport” configuration (#10457)

  • Add Upstash Vector (#10451)

[0.9.43] - 2024-02-03#

New Features#

  • Add multi-modal ollama (#10434)

Bug Fixes / Nits#

  • update base class for astradb (#10435)

[0.9.42.post1] - 2024-02-02#

New Features#

  • Add Async support for Base nodes parser (#10418)

[0.9.42] - 2024-02-02#

New Features#

  • Add support for gpt-3.5-turbo-0125 (#10412)

  • Added create-llama support to rag cli (#10405)

Bug Fixes / Nits#

  • Fixed minor bugs in lance-db vector store (#10404)

  • Fixed streaming bug in ollama (#10407)

[0.9.41] - 2024-02-01#

New Features#

  • Nomic Embedding (#10388)

  • Dashvector support sparse vector (#10386)

  • Table QA with MarkDownParser and Benchmarking (#10382)

  • Simple web page reader (#10395)

Bug Fixes / Nits#

  • fix full node content in KeywordExtractor (#10398)

[0.9.40] - 2024-01-30#

New Features#

  • Improve and fix bugs for MarkdownElementNodeParser (#10340)

  • Fixed and improve Perplexity support for new models (#10319)

  • Ensure system_prompt is passed to Perplexity LLM (#10326)

  • Extended BaseRetrievalEvaluator to include an optional PostProcessor (#10321)

[0.9.39] - 2024-01-26#

New Features#

  • Support for new GPT Turbo Models (#10291)

  • Support Multiple docs for Sentence Transformer Fine tuning(#10297)

Bug Fixes / Nits#

  • Marvin imports fixed (#9864)

[0.9.38] - 2024-01-25#

New Features#

  • Support for new OpenAI v3 embedding models (#10279)

Bug Fixes / Nits#

  • Extra checks on sparse embeddings for qdrant (#10275)

[0.9.37] - 2024-01-24#

New Features#

  • Added a RAG CLI utility (#10193)

  • Added a textai vector store (#10240)

  • Added a Postgresql based docstore and index store (#10233)

  • specify tool spec in tool specs (#10263)

Bug Fixes / Nits#

  • Fixed serialization error in ollama chat (#10230)

  • Added missing fields to SentenceTransformerRerank (#10225)

  • Fixed title extraction (#10209, #10226)

  • nit: make chainable output parser more exposed in library/docs (#10262)

  • bug

    summary index not carrying over excluded metadata keys (#10259)

[0.9.36] - 2024-01-23#

New Features#

  • Added support for SageMakerEmbedding (#10207)

Bug Fixes / Nits#

  • Fix duplicated file_id on openai assistant (#10223)

  • Fix circular dependencies for programs (#10222)

  • Run TitleExtractor on groups of nodes from the same parent document (#10209)

  • Improve vectara auto-retrieval (#10195)

[0.9.35] - 2024-01-22#

New Features#

  • beautifulsoup4 dependency to new optional extra html (#10156)

  • make BaseNode.hash an @property (#10163)

  • Neutrino (#10150)

  • feat: JSONalyze Query Engine (#10067)

  • [wip] add custom hybrid retriever notebook (#10164)

  • add from_collection method to ChromaVectorStore class (#10167)

  • CLI experiment v0: ask (#10168)

  • make react agent prompts more editable (#10154)

  • Add agent query pipeline (#10180)

Bug Fixes / Nits#

  • Update supabase vecs metadata filter function to support multiple fields (#10133)

  • Bugfix/code improvement for LanceDB integration (#10144)

  • beautifulsoup4 optional dependency (#10156)

  • Fix qdrant aquery hybrid search (#10159)

  • make hash a @property (#10163)

  • fix: bug on poetry install of llama-index[postgres] (#10171)

  • [doc] update jaguar vector store documentation (#10179)

  • Remove use of not-launched finish_message (#10188)

  • Updates to Lantern vector stores docs (#10192)

  • fix typo in multi_document_agents.ipynb (#10196)

[0.9.34] - 2024-01-19#

New Features#

  • Added SageMakerEndpointLLM (#10140)

  • Added support for Qdrant filters (#10136)

Bug Fixes / Nits#

  • Update bedrock utils for Claude 2:1 (#10139)

  • BugFix: deadlocks using multiprocessing (#10125)

[0.9.33] - 2024-01-17#

New Features#

  • Added RankGPT as a postprocessor (#10054)

  • Ensure backwards compatibility with new Pinecone client version bifucation (#9995)

  • Recursive retriever all the things (#10019)

Bug Fixes / Nits#

  • BugFix: When using markdown element parser on a table containing comma (#9926)

  • extend auto-retrieval notebook (#10065)

  • Updated the Attribute name in llm_generators (#10070)

  • jaguar vector store add text_tag to add_kwargs in add() (#10057)

[0.9.32] - 2024-01-16#

New Features#

  • added query-time row retrieval + fix nits with query pipeline over structured data (#10061)

  • ReActive Agents w/ Context + updated stale link (#10058)

[0.9.31] - 2024-01-15#

New Features#

  • Added selectors and routers to query pipeline (#9979)

  • Added sparse-only search to qdrant vector store (#10041)

  • Added Tonic evaluators (#10000)

  • Adding async support to firestore docstore (#9983)

  • Implement mongodb docstore put_all method (#10014)

Bug Fixes / Nits#

  • Properly truncate sql results based on max_string_length (#10015)

  • Fixed node.resolve_image() for base64 strings (#10026)

  • Fixed cohere system prompt role (#10020)

  • Remove redundant token counting operation in SentenceSplitter (#10053)

[0.9.30] - 2024-01-11#

New Features#

  • Implements a Node Parser using embeddings for Semantic Splitting (#9988)

  • Add Anyscale Embedding model support (#9470)

Bug Fixes / Nits#

  • nit: fix pandas get prompt (#10001)

  • Fix: Token counting bug (#9912)

  • Bump jinja2 from 3.1.2 to 3.1.3 (#9997)

  • Fix corner case for qdrant hybrid search (#9993)

  • Bugfix: sphinx generation errors (#9944)

  • Fix: language used before assignment in CodeSplitter (#9987)

  • fix inconsistent name “text_parser” in section “Use a Text Splitter… (#9980)

  • bug

    fixing batch size (#9982)

  • add auto-async execution to query pipelines (#9967)

  • bug

    fixing init (#9977)

  • Parallel Loading with SimpleDirectoryReader (#9965)

  • do not force delete an index in milvus (#9974)

[0.9.29] - 2024-01-10#

New Features#

  • Added support for together.ai models (#9962)

  • Added support for batch redis/firestore kvstores, async firestore kvstore (#9827)

  • Parallelize IngestionPipeline.run() (#9920)

  • Added new query pipeline components: function, argpack, kwargpack (#9952)

Bug Fixes / Nits#

  • Updated optional langchain imports to avoid warnings (#9964)

  • Raise an error if empty nodes are embedded (#9953)

[0.9.28] - 2024-01-09#

New Features#

  • Added support for Nvidia TenorRT LLM (#9842)

  • Allow tool_choice to be set during agent construction (#9924)

  • Added streaming support for QueryPipeline (#9919)

Bug Fixes / Nits#

  • Set consistent doc-ids for llama-index readers (#9923, #9916)

  • Remove unneeded model inputs for HuggingFaceEmbedding (#9922)

  • Propagate tool_choice flag to downstream APIs (#9901)

  • Add chat_store_key to chat memory from_defaults() (#9928)

[0.9.27] - 2024-01-08#

New Features#

  • add query pipeline (#9908)

  • Feature: Azure Multi Modal (fixes: #9471) (#9843)

  • add postgres docker (#9906)

  • Vectara auto_retriever (#9865)

  • Redis Chat Store support (#9880)

  • move more classes to core (#9871)

Bug Fixes / Nits / Smaller Features#

  • Propagate tool_choice flag to downstream APIs (#9901)

  • filter out negative indexes from faiss query (#9907)

  • added NE filter for qdrant payloads (#9897)

  • Fix incorrect id assignment in MyScale query result (#9900)

  • Qdrant Text Match Filter (#9895)

  • Fusion top k for hybrid search (#9894)

  • Fix (#9867) sync_to_async to avoid blocking during asynchronous calls (#9869)

  • A single node passed into compute_scores returns as a float (#9866)

  • Remove extra linting steps (#9878)

  • add vectara links (#9886)

[0.9.26] - 2024-01-05#

New Features#

  • Added a BaseChatStore and SimpleChatStore abstraction for dedicated chat memory storage (#9863)

  • Enable custom tree_sitter parser to be passed into CodeSplitter (#9845)

  • Created a BaseAutoRetriever base class, to allow other retrievers to extend to auto modes (#9846)

  • Added support for Nvidia Triton LLM (#9488)

  • Added DeepEval one-click observability (#9801)

Bug Fixes / Nits#

  • Updated the guidance integration to work with the latest version (#9830)

  • Made text storage optional for doctores/ingestion pipeline (#9847)

  • Added missing sphinx-automodapi dependency for docs (#9852)

  • Return actual node ids in weaviate query results (#9854)

  • Added prompt formatting to LangChainLLM (#9844)

[0.9.25] - 2024-01-03#

New Features#

  • Added concurrancy limits for dataset generation (#9779)

  • New deepeval one-click observability handler (#9801)

  • Added jaguar vector store (#9754)

  • Add beta multimodal ReAct agent (#9807)

Bug Fixes / Nits#

  • Changed default batch size for OpenAI embeddings to 100 (#9805)

  • Use batch size properly for qdrant upserts (#9814)

  • _verify_source_safety uses AST, not regexes, for proper safety checks (#9789)

  • use provided LLM in element node parsers (#9776)

  • updated legacy vectordb loading function to be more robust (#9773)

  • Use provided http client in AzureOpenAI (#9772)

[0.9.24] - 2023-12-30#

New Features#

  • Add reranker for BEIR evaluation (#9743)

  • Add Pathway integration. (#9719)

  • custom agents implementation + notebook (#9746)

Bug Fixes / Nits#

  • fix beam search for vllm: add missing parameter (#9741)

  • Fix alpha for hrbrid search (#9742)

  • fix token counter (#9744)

  • BM25 tokenizer lowercase (#9745)

[0.9.23] - 2023-12-28#

Bug Fixes / Nits#

  • docs: fixes qdrant_hybrid.ipynb typos (#9729)

  • make llm completion program more general (#9731)

  • Refactor MM Vector store and Index for empty collection (#9717)

  • Adding IF statement to check for Schema using “Select” (#9712)

  • allow skipping module loading in download_module and download_llama_pack (#9734)

[0.9.22] - 2023-12-26#

New Features#

  • Added .iter_data() method to SimpleDirectoryReader (#9658)

  • Added async support to Ollama LLM (#9689)

  • Expanding pinecone filter support for in and not in (#9683)

Bug Fixes / Nits#

  • Improve BM25Retriever performance (#9675)

  • Improved qdrant hybrid search error handling (#9707)

  • Fixed None handling in ChromaVectorStore (#9697)

  • Fixed postgres schema creation if not existing (#9712)

[0.9.21] - 2023-12-23#

New Features#

  • Added zilliz cloud as a managed index (#9605)

Bug Fixes / Nits#

  • Bedrock client and LLM fixes (#9671, #9646)

[0.9.20] - 2023-12-21#

New Features#

  • Added insert_batch_size to limit number of embeddings held in memory when creating an index, defaults to 2048 (#9630)

  • Improve auto-retrieval (#9647)

  • Configurable Node ID Generating Function (#9574)

  • Introduced action input parser (#9575)

  • qdrant sparse vector support (#9644)

  • Introduced upserts and delete in ingestion pipeline (#9643)

  • Add Zilliz Cloud Pipeline as a Managed Index (#9605)

  • Add support for Google Gemini models via VertexAI (#9624)

  • support allowing additional metadata filters on autoretriever (#9662)

Bug Fixes / Nits#

  • Fix pip install commands in LM Format Enforcer notebooks (#9648)

  • Fixing some more links and documentations (#9633)

  • some bedrock nits and fixes (#9646)

[0.9.19] - 2023-12-20#

New Features#

  • new llama datasets LabelledEvaluatorDataset & LabelledPairwiseEvaluatorDataset (#9531)

[0.9.18] - 2023-12-20#

New Features#

  • multi-doc auto-retrieval guide (#9631)

Bug Fixes / Nits#

  • fix(vllm): make Vllm’s ‘complete’ method behave the same as other LLM class (#9634)

  • FIx Doc links and other documentation issue (#9632)

[0.9.17] - 2023-12-19#

New Features#

  • [example] adding user feedback (#9601)

  • FEATURE: Cohere ReRank Relevancy Metric for Retrieval Eval (#9495)

Bug Fixes / Nits#

  • Fix Gemini Chat Mode (#9599)

  • Fixed types-protobuf from being a primary dependency (#9595)

  • Adding an optional auth token to the TextEmbeddingInference class (#9606)

  • fix: out of index get latest tool call (#9608)

  • fix(azure_openai.py): add missing return to subclass override (#9598)

  • fix mix up b/w ‘formatted’ and ‘format’ params for ollama api call (#9594)

[0.9.16] - 2023-12-18#

New Features#

  • agent refactor: step-wise execution (#9584)

  • Add OpenRouter, with Mixtral demo (#9464)

  • Add hybrid search to neo4j vector store (#9530)

  • Add support for auth service accounts for Google Semantic Retriever (#9545)

Bug Fixes / Nits#

  • Fixed missing default=None for LLM.system_prompt (#9504)

  • Fix #9580 : Incorporate metadata properly (#9582)

  • Integrations: Gradient[Embeddings,LLM] - sdk-upgrade (#9528)

  • Add mixtral 8x7b model to anyscale available models (#9573)

  • Gemini Model Checks (#9563)

  • Update OpenAI fine-tuning with latest changes (#9564)

  • fix/Reintroduce WHERE filter to the Sparse Query for PgVectorStore (#9529)

  • Update Ollama API to ollama v0.1.16 (#9558)

  • ollama: strip invalid formatted option (#9555)

  • add a device in optimum push #9541 (#9554)

  • Title vs content difference for Gemini Embedding (#9547)

  • fix pydantic fields to float (#9542)

[0.9.15] - 2023-12-13#

New Features#

  • Added full support for Google Gemini text+vision models (#9452)

  • Added new Google Semantic Retriever (#9440)

  • added from_existing() method + async support to OpenAI assistants (#9367)

Bug Fixes / Nits#

  • Fixed huggingface LLM system prompt and messages to prompt (#9463)

  • Fixed ollama additional kwargs usage (#9455)

[0.9.14] - 2023-12-11#

New Features#

  • Add MistralAI LLM (#9444)

  • Add MistralAI Embeddings (#9441)

  • Add Ollama Embedding class (#9341)

  • Add FlagEmbeddingReranker for reranking (#9285)

  • feat: PgVectorStore support advanced metadata filtering (#9377)

  • Added sql_only parameter to SQL query engines to avoid executing SQL (#9422)

Bug Fixes / Nits#

  • Feat/PgVector Support custom hnsw.ef_search and ivfflat.probes (#9420)

  • fix F1 score definition, update copyright year (#9424)

  • Change more than one image input for Replicate Multi-modal models from error to warning (#9360)

  • Removed GPT-Licensed aiostream dependency (#9403)

  • Fix result of BedrockEmbedding with Cohere model (#9396)

  • Only capture valid tool names in react agent (#9412)

  • Fixed top_k being multiplied by 10 in azure cosmos (#9438)

  • Fixed hybrid search for OpenSearch (#9430)

Breaking Changes#

  • Updated the base LLM interface to match LLMPredictor (#9388)

  • Deprecated LLMPredictor (#9388)

[0.9.13] - 2023-12-06#

New Features#

  • Added batch prediction support for LabelledRagDataset (#9332)

Bug Fixes / Nits#

  • Fixed save and load for faiss vector store (#9330)

[0.9.12] - 2023-12-05#

New Features#

  • Added an option reuse_client to openai/azure to help with async timeouts. Set to False to see improvements (#9301)

  • Added support for vLLM llm (#9257)

  • Add support for python 3.12 (#9304)

  • Support for claude-2.1 model name (#9275)

Bug Fixes / Nits#

  • Fix embedding format for bedrock cohere embeddings (#9265)

  • Use delete_kwargs for filtering in weaviate vector store (#9300)

  • Fixed automatic qdrant client construction (#9267)

[0.9.11] - 2023-12-03#

New Features#

  • Make reference_contexts optional in LabelledRagDataset (#9266)

  • Re-organize download module (#9253)

  • Added document management to ingestion pipeline (#9135)

  • Add docs for LabelledRagDataset (#9228)

  • Add submission template notebook and other doc updates for LabelledRagDataset (#9273)

Bug Fixes / Nits#

  • Convert numpy to list for InstructorEmbedding (#9255)

[0.9.10] - 2023-11-30#

New Features#

  • Advanced Metadata filter for vector stores (#9216)

  • Amazon Bedrock Embeddings New models (#9222)

  • Added PromptLayer callback integration (#9190)

  • Reuse file ids for OpenAIAssistant (#9125)

Breaking Changes / Deprecations#

  • Deprecate ExactMatchFilter (#9216)

[0.9.9] - 2023-11-29#

New Features#

  • Add new abstractions for LlamaDataset‘s (#9165)

  • Add metadata filtering and MMR mode support for AstraDBVectorStore (#9193)

  • Allowing newest scikit-learn versions (#9213)

Breaking Changes / Deprecations#

  • Added LocalAI demo and began deprecation cycle (#9151)

  • Deprecate QueryResponseDataset and DatasetGenerator of evaluation module (#9165)

Bug Fixes / Nits#

  • Fix bug in download_utils.py with pointing to wrong repo (#9215)

  • Use azure_deployment kwarg in AzureOpenAILLM (#9174)

  • Fix similarity score return for AstraDBVectorStore Integration (#9193)

[0.9.8] - 2023-11-26#

New Features#

  • Add persist and persist_from_dir methods to ObjectIndex that are able to support it (#9064)

  • Added async metadata extraction + pipeline support (#9121)

  • Added back support for start/end char idx in nodes (#9143)

Bug Fixes / Nits#

  • Fix for some kwargs not being set properly in global service context (#9137)

  • Small fix for memory.get() when system/prefix messages are large (#9149)

  • Minor fixes for global service context (#9137)

[0.9.7] - 2023-11-24#

New Features#

  • Add support for PGVectoRsStore (#9087)

  • Enforcing requests>=2.31 for security, while unpinning urllib3 (#9108)

Bug Fixes / Nits#

  • Increased default memory token limit for context chat engine (#9123)

  • Added system prompt to CondensePlusContextChatEngine that gets prepended to the context_prompt (#9123)

  • Fixed bug in CondensePlusContextChatEngine not using chat history properly (#9129)

[0.9.6] - 2023-11-22#

New Features#

  • Added default_headers argument to openai LLMs (#9090)

  • Added support for download_llama_pack() and LlamaPack integrations

  • Added support for llamaindex-cli command line tool

Bug Fixed / Nits#

  • store normalize as bool for huggingface embedding (#9089)

[0.9.5] - 2023-11-21#

Bug Fixes / Nits#

  • Fixed bug with AzureOpenAI logic for inferring if stream chunk is a tool call (#9018)

New Features#

  • FastEmbed embeddings provider (#9043)

  • More precise testing of OpenAILike (#9026)

  • Added callback manager to each retriever (#8871)

  • Ability to bypass max_tokens inference with OpenAILike (#9032)

Bug Fixes / Nits#

  • Fixed bug in formatting chat prompt templates when estimating chunk sizes (#9025)

  • Sandboxed Pandas execution, remediate CVE-2023-39662 (#8890)

  • Restored mypy for Python 3.8 (#9031)

  • Loosened dataclasses-json version range, and removes unnecessary jinja2 extra from pandas (#9042)

[0.9.4] - 2023-11-19#

New Features#

  • Added CondensePlusContextChatEngine (#8949)

Smaller Features / Bug Fixes / Nits#

  • Fixed bug with OpenAIAgent inserting errors into chat history (#9000)

  • Fixed various bugs with LiteLLM and the new OpenAI client (#9003)

  • Added context window attribute to perplexity llm (#9012)

  • Add node_parser attribute back to service context (#9013)

  • Refactor MM retriever classes (#8998)

  • Fix TextNode instantiation on SupabaseVectorIndexDemo (#8994)

[0.9.3] - 2023-11-17#

New Features#

  • Add perplexity LLM integration (#8734)

Bug Fixes / Nits#

  • Fix token counting for new openai client (#8981)

  • Fix small pydantic bug in postgres vector db (#8962)

  • Fixed chunk_overlap and doc_id bugs in HierarchicalNodeParser (#8983)

[0.9.2] - 2023-11-16#

New Features#

  • Added new notebook guide for Multi-Modal Rag Evaluation (#8945)

  • Added MultiModalRelevancyEvaluator, and MultiModalFaithfulnessEvaluator (#8945)

[0.9.1] - 2023-11-15#

New Features#

  • Added Cohere Reranker fine-tuning (#8859)

  • Support for custom httpx client in AzureOpenAI LLM (#8920)

Bug Fixes / Nits#

  • Fixed issue with set_global_service_context not propagating settings (#8940)

  • Fixed issue with building index with Google Palm embeddings (#8936)

  • Fixed small issue with parsing ImageDocuments/Nodes that have no text (#8938)

  • Fixed issue with large data inserts in Astra DB (#8937)

  • Optimize QueryEngineTool for agents (#8933)

[0.9.0] - 2023-11-15#

New Features / Breaking Changes / Deprecations#

  • New IngestionPipeline concept for ingesting and transforming data

  • Data ingestion and transforms are now automatically cached

  • Updated interface for node parsing/text splitting/metadata extraction modules

  • Changes to the default tokenizer, as well as customizing the tokenizer

  • Packaging/Installation changes with PyPi (reduced bloat, new install options)

  • More predictable and consistent import paths

  • Plus, in beta: MultiModal RAG Modules for handling text and images!

  • Find more details at: https://medium.com/@llama_index/719f03282945

[0.8.69.post1] - 2023-11-13#

Bug Fixes / Nits#

  • Increase max weaivate delete size to max of 10,000 (#8887)

  • Final pickling remnant fix (#8902)

[0.8.69] - 2023-11-13#

Bug Fixes / Nits#

  • Fixed bug in loading pickled objects (#8880)

  • Fix custom_path vs custom_dir in download_loader (#8865)

[0.8.68] - 2023-11-11#

New Features#

  • openai assistant agent + advanced retrieval cookbook (#8863)

  • add retrieval API benchmark (#8850)

  • Add JinaEmbedding class (#8704)

Bug Fixes / Nits#

  • Improved default timeouts/retries for OpenAI (#8819)

  • Add back key validation for OpenAI (#8819)

  • Disable automatic LLM/Embedding model downloads, give informative error (#8819)

  • fix openai assistant tool creation + retrieval notebook (#8862)

  • Quick fix Replicate MultiModal example (#8861)

  • fix: paths treated as hidden (#8860)

  • fix Replicate multi-modal LLM + notebook (#8854)

  • Feature/citation metadata (#8722)

  • Fix ImageNode type from NodeWithScore for SimpleMultiModalQueryEngine (#8844)

[0.8.67] - 2023-11-10#

New Features#

  • Advanced Multi Modal Retrieval Example and docs (#8822, #8823)

Bug Fixes / Nits#

  • Fix retriever node postprocessors for CitationQueryEngine (#8818)

  • Fix cannot pickle 'builtins.CoreBPE' object in most scenarios (#8835)

[0.8.66] - 2023-11-09#

New Features#

  • Support parallel function calling with new OpenAI client in OpenAIPydanticProgram (#8793)

Bug Fixes / Nits#

  • Fix bug in pydantic programs with new OpenAI client (#8793)

  • Fixed bug with un-listable fsspec objects (#8795)

[0.8.65] - 2023-11-08#

New Features#

  • OpenAIAgent parallel function calling (#8738)

New Features#

  • Properly supporting Hugging Face recommended model (#8784)

Bug Fixes / Nits#

  • Fixed missing import for embeddings.__all__ (#8779)

Breaking Changes / Deprecations#

  • Use tool_choice over function_call and tool over functions in OpenAI(LLM) (#8738)

  • Deprecate to_openai_function in favor of to_openai_tool (#8738)

[0.8.64] - 2023-11-06#

New Features#

  • OpenAIAgent parallel function calling (#8738)

  • Add AI assistant agent (#8735)

  • OpenAI GPT4v Abstraction (#8719)

  • Add support for Lantern VectorStore (#8714)

Bug Fixes / Nits#

  • Fix returning zero nodes in elastic search vector store (#8746)

  • Add try/except for SimpleDirectoryReader loop to avoid crashing on a single document (#8744)

  • Fix for deployment_name in async embeddings (#8748)

[0.8.63] - 2023-11-05#

New Features#

  • added native sync and async client support for the lasted openai client package (#8712)

  • added support for AzureOpenAIEmbedding (#8712)

Bug Fixes / Nits#

  • Fixed errors about “no host supplied” with download_loader (#8723)

Breaking Changes#

  • OpenAIEmbedding no longer supports azure, moved into the AzureOpenAIEmbedding class (#8712)

[0.8.62.post1] - 2023-11-05#

Breaking Changes#

  • add new devday models (#8713)

  • moved max_docs parameter from constructor to lazy_load_data() for SimpleMongoReader (#8686)

[0.8.61] - 2023-11-05#

New Features#

  • [experimental] Hyperparameter tuner (#8687)

Bug Fixes / Nits#

  • Fix typo error in CohereAIModelName class: cohere light models was missing v3 (#8684)

  • Update deeplake.py (#8683)

[0.8.60] - 2023-11-04#

New Features#

  • prompt optimization guide (#8659)

  • VoyageEmbedding (#8634)

  • Multilingual support for YoutubeTranscriptReader (#8673)

  • emotion prompt guide (#8674)

Bug Fixes / Nits#

  • Adds mistral 7b instruct v0.1 to available anyscale models (#8652)

  • Make pgvector’s setup (extension, schema, and table creation) optional (#8656)

  • Allow init of stores_text variable for Pinecone vector store (#8633)

  • fix: azure ad support (#8667)

  • Fix nltk bug in multi-threaded environments (#8668)

  • Fix google colab link in cohereai notebook (#8677)

  • passing max_tokens to the Cohere llm (#8672)

[0.8.59] - 2023-11-02#

  • Deepmemory support (#8625)

  • Add CohereAI embeddings (#8650)

  • Add Azure AD (Microsoft Entra ID) support (#8667)

[0.8.58] - 2023-11-02#

New Features#

  • Add lm-format-enforcer integration for structured output (#8601)

  • Google Vertex Support (#8626)

[0.8.57] - 2023-10-31#

New Features#

  • Add VoyageAIEmbedding integration (#8634)

  • Add fine-tuning evaluator notebooks (#8596)

  • Add SingleStoreDB integration (#7991)

  • Add support for ChromaDB PersistentClient (#8582)

  • Add DataStax Astra DB support (#8609)

Bug Fixes / Nits#

  • Update dataType in Weaviate (#8608)

  • In Knowledge Graph Index with hybrid retriever_mode,

    • return the nodes found by keyword search when ‘No Relationship found’

  • Fix exceed context length error in chat engines (#8530)

  • Retrieve actual content of all the triplets from KG (#8579)

  • Return the nodes found by Keywords when no relationship is found by embeddings in hybrid retriever_mode in KnowledgeGraphIndex (#8575)

  • Optimize content of retriever tool and minor bug fix (#8588)

[0.8.56] - 2023-10-30#

New Features#

  • Add Amazon BedrockEmbedding (#8550)

  • Moves HuggingFaceEmbedding to center on Pooling enum for pooling (#8467)

  • Add IBM WatsonX LLM support (#8587)

Bug Fixes / Nits#

  • [Bug] Patch Clarifai classes (#8529)

  • fix retries for bedrock llm (#8528)

  • Fix : VectorStore’s QueryResult always returns saved Node as TextNode (#8521)

  • Added default file_metadata to get basic metadata that many postprocessors use, for SimpleDirectoryReader (#8486)

  • Handle metadata with None values in chromadb (#8584)

[0.8.55] - 2023-10-29#

New Features#

  • allow prompts to take in functions with function_mappings (#8548)

  • add advanced prompt + “prompt engineering for RAG” notebook (#8555)

  • Leverage Replicate API for serving LLaVa modal (#8539)

Bug Fixes / Nits#

  • Update pull request template with google colab support inclusion (#8525)

[0.8.54] - 2023-10-28#

New Features#

  • notebook showing how to fine-tune llama2 on structured outputs (#8540)

    • added GradientAIFineTuningHandler

    • added pydantic_program_mode to ServiceContext

  • Initialize MultiModal Retrieval using LlamaIndex (#8507)

Bug Fixes / Nits#

  • Add missing import to ChatEngine usage pattern .md doc (#8518)

  • bug

    fixed async add (#8531)

  • fix: add the needed CondenseQuestionChatEngine import in the usage_pa… (#8518)

  • Add import LongLLMLinguaPostprocessor for LongLLMLingua.ipynb (#8519)

[0.8.53] - 2023-10-27#

New Features#

  • Docs refactor (#8500) An overhaul of the docs organization. Major changes

    • Added a big new “understanding” section

    • Added a big new “optimizing” section

    • Overhauled Getting Started content

    • Categorized and moved module guides to a single section

[0.8.52] - 2023-10-26#

New Features#

  • Add longllmlingua (#8485)

  • Add google colab support for notebooks (#7560)

Bug Fixes / Nits#

  • Adapt Cassandra VectorStore constructor DB connection through cassio.init (#8255)

  • Allow configuration of service context and storage context in managed index (#8487)

[0.8.51.post1] - 2023-10-25#

New Features#

  • Add Llava MultiModal QA examples for Tesla 10k RAG (#8271)

  • fix bug streaming on react chat agent not working as expected (#8459)

Bug Fixes / Nits#

  • patch: add selected result to response metadata for router query engines, fix bug (#8483)

  • add Jina AI embeddings notebook + huggingface embedding fix (#8478)

  • add is_chat_model to replicate (#8469)

  • Brought back toml-sort to pre-commit (#8267)

  • Added LocationConstraint for local test_s3_kvstore (#8263)

[0.8.50] - 2023-10-24#

New Features#

  • Expose prompts in different modules (query engines, synthesizers, and more) (#8275)

[0.8.49] - 2023-10-23#

New Features#

  • New LLM integrations

    • Support for Hugging Face Inference API’s conversational, text_generation, and feature_extraction endpoints via huggingface_hub[inference] (#8098)

    • Add Amazon Bedrock LLMs (#8223)

    • Add AI21 Labs LLMs (#8233)

    • Add OpenAILike LLM class for OpenAI-compatible api servers (#7973)

  • New / updated vector store integrations

    • Add DashVector (#7772)

    • Add Tencent VectorDB (#8173)

    • Add option for custom Postgres schema on PGVectorStore instead of only allowing public schema (#8080)

  • Add Gradient fine tuning engine (#8208)

  • docs(FAQ): frequently asked questions (#8249)

Bug Fixes / Nits#

  • Fix inconsistencies with ReActAgent.stream_chat (#8147)

  • Deprecate some functions for GuardrailsOutputParser (#8016)

  • Simplify dependencies (#8236)

  • Bug fixes for LiteLLM (#7885)

  • Update for Predibase LLM (#8211)

[0.8.48] - 2023-10-20#

New Features#

  • Add DELETE for MyScale vector store (#8159)

  • Add SQL Retriever (#8197)

  • add semantic kernel document format (#8226)

  • Improve MyScale Hybrid Search and Add DELETE for MyScale vector store (#8159)

Bug Fixes / Nits#

  • Fixed additional kwargs in ReActAgent.from_tools() (#8206)

  • Fixed missing spaces in prompt templates (#8190)

  • Remove auto-download of llama2-13B on exception (#8225)

[0.8.47] - 2023-10-19#

New Features#

  • add response synthesis to text-to-SQL (#8196)

  • Added support for LLMRailsEmbedding (#8169)

  • Inferring MPS device with PyTorch (#8195)

  • Consolidated query/text prepending (#8189)

[0.8.46] - 2023-10-18#

New Features#

  • Add fine-tuning router support + embedding selector (#8174)

  • add more document converters (#8156)

Bug Fixes / Nits#

  • Add normalization to huggingface embeddings (#8145)

  • Improve MyScale Hybrid Search (#8159)

  • Fixed duplicate FORMAT_STR being inside prompt (#8171)

  • Added: support for output_kwargs={‘max_colwidth’: xx} for PandasQueryEngine (#8110)

  • Minor fix in the description for an argument in cohere llm (#8163)

  • Fix Firestore client info (#8166)

[0.8.45] - 2023-10-13#

New Features#

  • Added support for fine-tuning cross encoders (#7705)

  • Added QueryFusionRetriever for merging multiple retrievers + query augmentation (#8100)

  • Added nb-clean to pre-commit to minimize PR diffs (#8108)

  • Support for TextEmbeddingInference embeddings (#8122)

Bug Fixes / Nits#

  • Improved the BM25Retriever interface to accept BaseNode objects (#8096)

  • Fixed bug with BM25Retriever tokenizer not working as expected (#8096)

  • Brought mypy to pass in Python 3.8 (#8107)

  • ReActAgent adding missing super().__init__ call (#8125)

[0.8.44] - 2023-10-12#

New Features#

  • add pgvector sql query engine (#8087)

  • Added HoneyHive one-click observability (#7944)

  • Add support for both SQLAlchemy V1 and V2 (#8060)

[0.8.43.post1] - 2023-10-11#

New Features#

  • Moves codespell to pre-commit (#8040)

  • Added prettier for autoformatting extensions besides .py (#8072)

Bug Fixes / Nits#

  • Fixed forgotten f-str in HuggingFaceLLM (#8075)

  • Relaxed numpy/panadas reqs

[0.8.43] - 2023-10-10#

New Features#

  • Added support for GradientEmbedding embed models (#8050)

Bug Fixes / Nits#

  • added messages_to_prompt kwarg to HuggingFaceLLM (#8054)

  • improved selection and sql parsing for open-source models (#8054)

  • fixed bug when agents hallucinate too many kwargs for a tool (#8054)

  • improved prompts and debugging for selection+question generation (#8056)

[0.8.42] - 2023-10-10#

New Features#

  • LocalAI more intuitive module-level var names (#8028)

  • Enable codespell for markdown docs (#7972)

  • add unstructured table element node parser (#8036)

  • Add: Async upserting for Qdrant vector store (#7968)

  • Add cohere llm (#8023)

Bug Fixes / Nits#

  • Parse multi-line outputs in react agent answers (#8029)

  • Add properly named kwargs to keyword as_retriever calls (#8011)

  • Updating Reference to RAGAS LlamaIndex Integration (#8035)

  • Vectara bugfix (#8032)

  • Fix: ChromaVectorStore can attempt to add in excess of chromadb batch… (#8019)

  • Fix get_content method in Mbox reader (#8012)

  • Apply kwarg filters in WeaviateVectorStore (#8017)

  • Avoid ZeroDivisionError (#8027)

  • LocalAI intuitive module-level var names (#8028)

  • zep/fix: imports & typing (#8030)

  • refactor: use str.join (#8020)

  • use proper metadata str for node parsing (#7987)

[0.8.41] - 2023-10-07#

New Features#

  • You.com retriever (#8024)

  • Pull fields from mongodb into metadata with metadata_names argument (#8001)

  • Simplified LocalAI.__init__ preserving the same behaviors (#7982)

Bug Fixes / Nits#

  • Use longest metadata string for metadata aware text splitting (#7987)

  • Handle lists of strings in mongodb reader (#8002)

  • Removes OpenAI.class_type as it was dead code (#7983)

  • Fixing HuggingFaceLLM.device_map type hint (#7989)

[0.8.40] - 2023-10-05#

New Features#

  • Added support for Clarifai LLM (#7967)

  • Add support for function fine-tuning (#7971)

Breaking Changes#

  • Update document summary index (#7815)

    • change default retrieval mode to embedding

    • embed summaries into vector store by default at indexing time (instead of calculating embedding on the fly)

    • support configuring top k in llm retriever

[0.8.39] - 2023-10-03#

New Features#

  • Added support for pydantic object outputs with query engines (#7893)

  • ClarifaiEmbedding class added for embedding support (#7940)

  • Markdown node parser, flat file reader and simple file node parser (#7863)

  • Added support for mongdb atlas $vectorSearch (#7866)

Bug Fixes / Nits#

  • Adds support for using message metadata in discord reader (#7906)

  • Fix LocalAI chat capability without max_tokens (#7942)

  • Added codespell for automated checking (#7941)

  • ruff modernization and autofixes (#7889)

  • Implement own SQLDatabase class (#7929)

  • Update LlamaCPP context_params property (#7945)

  • fix duplicate embedding (#7949)

  • Adds codespell tool for enforcing good spelling (#7941)

  • Supporting mypy local usage with venv (#7952)

  • Vectara - minor update (#7954)

  • Avoiding pydantic reinstalls in CI (#7956)

  • move tree_sitter_languages into data_requirements.txt (#7955)

  • Add cache_okay param to PGVectorStore to help suppress TSVector warnings (#7950)

[0.8.38] - 2023-10-02#

New Features#

  • Updated KeywordNodePostprocessor to use spacy to support more languages (#7894)

  • LocalAI supporting global or per-query /chat/completions vs /completions (#7921)

  • Added notebook on using REBEL + Wikipedia filtering for knowledge graphs (#7919)

  • Added support for ElasticsearchEmbedding (#7914)

[0.8.37] - 2023-09-30#

New Features#

  • Supporting LocalAI LLMs (#7913)

  • Validations protecting against misconfigured chunk sizes (#7917)

Bug Fixes / Nits#

  • Simplify NL SQL response to SQL parsing, with expanded NL SQL prompt (#7868)

  • Improve vector store retrieval speed for vectordb integrations (#7876)

  • Added replacing {{ and }}, and fixed JSON parsing recursion (#7888)

  • Nice-ified JSON decoding error (#7891)

  • Nice-ified SQL error from LLM not providing SQL (#7900)

  • Nice-ified ImportError for HuggingFaceLLM (#7904)

  • eval fixes: fix dataset response generation, add score to evaluators (#7915)

[0.8.36] - 2023-09-27#

New Features#

  • add “build RAG from scratch notebook” - OSS/local (#7864)

Bug Fixes / Nits#

  • Fix elasticsearch hybrid scoring (#7852)

  • Replace get_color_mapping and print_text Langchain dependency with internal implementation (#7845)

  • Fix async streaming with azure (#7856)

  • Avoid NotImplementedError() in sub question generator (#7855)

  • Patch predibase initialization (#7859)

  • Bumped min langchain version and changed prompt imports from langchain (#7862)

[0.8.35] - 2023-09-27#

Bug Fixes / Nits#

  • Fix dropping textnodes in recursive retriever (#7840)

  • share callback_manager between agent and its llm when callback_manager is None (#7844)

  • fix pandas query engine (#7847)

[0.8.34] - 2023-09-26#

New Features#

  • Added Konko LLM support (#7775)

  • Add before/after context sentence (#7821)

  • EverlyAI integration with LlamaIndex through OpenAI library (#7820)

  • add Arize Phoenix tracer to global handlers (#7835)

Bug Fixes / Nits#

  • Normalize scores returned from ElasticSearch vector store (#7792)

  • Fixed refresh_ref_docs() bug with order of operations (#7664)

  • Delay postgresql connection for PGVectorStore until actually needed (#7793)

  • Fix KeyError in delete method of SimpleVectorStore related to metadata filters (#7829)

  • Fix KeyError in delete method of SimpleVectorStore related to metadata filters (#7831)

  • Addressing PyYAML import error (#7784)

  • ElasticsearchStore: Update User-Agent + Add example docker compose (#7832)

  • StorageContext.persist supporting Path (#7783)

  • Update ollama.py (#7839)

  • fix bug for self._session_pool (#7834)

[0.8.33] - 2023-09-25#

New Features#

  • add pairwise evaluator + benchmark auto-merging retriever (#7810)

Bug Fixes / Nits#

  • Minor cleanup in embedding class (#7813)

  • Misc updates to OpenAIEmbedding (#7811)

[0.8.32] - 2023-09-24#

New Features#

  • Added native support for HuggingFaceEmbedding, InstructorEmbedding, and OptimumEmbedding (#7795)

  • Added metadata filtering and hybrid search to MyScale vector store (#7780)

  • Allowing custom text field name for Milvus (#7790)

  • Add support for vector_store_query_mode to VectorIndexAutoRetriever (#7797)

Bug Fixes / Nits#

  • Update LanceDBVectorStore to handle score and distance (#7754)

  • Pass LLM to memory_cls in CondenseQuestionChatEngine (#7785)

[0.8.31] - 2023-09-22#

New Features#

  • add pydantic metadata extractor (#7778)

  • Allow users to set the embedding dimensions in azure cognitive vector store (#7734)

  • Add semantic similarity evaluator (#7770)

Bug Fixes / Nits#

  • 📝docs: Update Chatbot Tutorial and Notebook (#7767)

  • Fixed response synthesizers with empty nodes (#7773)

  • Fix NotImplementedError in auto vector retriever (#7764)

  • Multiple kwargs values in “KnowledgeGraphQueryEngine” bug-fix (#7763)

  • Allow setting azure cognitive search dimensionality (#7734)

  • Pass service context to index for dataset generator (#7748)

  • Fix output parsers for selector templates (#7774)

  • Update Chatbot_SEC.ipynb (#7711)

  • linter/typechecker-friendly improvements to cassandra test (#7771)

  • Expose debug option of PgVectorStore (#7776)

  • llms/openai: fix Azure OpenAI by considering prompt_filter_results field (#7755)

[0.8.30] - 2023-09-21#

New Features#

  • Add support for gpt-3.5-turbo-instruct (#7729)

  • Add support for TimescaleVectorStore (#7727)

  • Added LongContextReorder for lost-in-the-middle issues (#7719)

  • Add retrieval evals (#7738)

Bug Fixes / Nits#

  • Added node post-processors to async context chat engine (#7731)

  • Added unique index name for postgres tsv column (#7741)

[0.8.29.post1] - 2023-09-18#

Bug Fixes / Nits#

  • Fix langchain import error for embeddings (#7714)

[0.8.29] - 2023-09-18#

New Features#

  • Added metadata filtering to the base simple vector store (#7564)

  • add low-level router guide (#7708)

  • Add CustomQueryEngine class (#7703)

Bug Fixes / Nits#

  • Fix context window metadata in lite-llm (#7696)

[0.8.28] - 2023-09-16#

New Features#

  • Add CorrectnessEvaluator (#7661)

  • Added support for Ollama LLMs (#7635)

  • Added HWPReader (#7672)

  • Simplified portkey LLM interface (#7669)

  • Added async operation support to ElasticsearchStore vector store (#7613)

  • Added support for LiteLLM (#7600)

  • Added batch evaluation runner (#7692)

Bug Fixes / Nits#

  • Avoid NotImplementedError for async langchain embeddings (#7668)

  • Imrpoved reliability of LLM selectors (#7678)

  • Fixed query_wrapper_prompt and system_prompt for output parsers and completion models (#7678)

  • Fixed node attribute inheritance in citation query engine (#7675)

Breaking Changes#

  • Refactor and update BaseEvaluator interface to be more consistent (#7661)

    • Use evaluate function for generic input

    • Use evaluate_response function with Response objects from llama index query engine

  • Update existing evaluators with more explicit naming

    • ResponseEvaluator -> FaithfulnessEvaluator

    • QueryResponseEvaluator -> RelevancyEvaluator

    • old names are kept as class aliases for backwards compatibility

[0.8.27] - 2023-09-14#

New Features#

  • add low-level tutorial section (#7673)

Bug Fixes / Nits#

  • default delta should be a dict (#7665)

  • better query wrapper logic on LLMPredictor (#7667)

[0.8.26] - 2023-09-12#

New Features#

  • add non-linear embedding adapter (#7658)

  • Add “finetune + RAG” evaluation to knowledge fine-tuning notebook (#7643)

Bug Fixes / Nits#

  • Fixed chunk-overlap for sentence splitter (#7590)

[0.8.25] - 2023-09-12#

New Features#

  • Added AGENT_STEP callback event type (#7652)

Bug Fixes / Nits#

  • Allowed simple mode to work with as_chat_engine() (#7637)

  • Fixed index error in azure streaming (#7646)

  • Removed pdb from llama-cpp (#7651)

[0.8.24] - 2023-09-11#

New Features#

  • guide: fine-tuning to memorize knowledge (#7626)

  • added ability to customize prompt template for eval modules (#7626)

Bug Fixes#

  • Properly detect llama-cpp-python version for loading the default GGML or GGUF llama2-chat-13b model (#7616)

  • Pass in summary_template properly with RetrieverQueryEngine.from_args() (#7621)

  • Fix span types in wandb callback (#7631)

[0.8.23] - 2023-09-09#

Bug Fixes#

  • Make sure context and system prompt is included in prompt for first chat for llama2 (#7597)

  • Avoid negative chunk size error in refine process (#7607)

  • Fix relationships for small documents in hierarchical node parser (#7611)

  • Update Anyscale Endpoints integration with full streaming and async support (#7602)

  • Better support of passing credentials as LLM constructor args in OpenAI, AzureOpenAI, and Anyscale (#7602)

Breaking Changes#

  • Update milvus vector store to support filters and dynamic schemas (#7286)

  • Added NLTK to core dependencies to support the default sentence splitter (#7606)

[0.8.22] - 2023-09-07#

New Features#

  • Added support for ElasticSearch Vector Store (#7543)

Bug Fixes / Nits#

  • Fixed small _index bug in ElasticSearchReader (#7570)

  • Fixed bug with prompt helper settings in global service contexts (#7576)

  • Remove newlines from openai embeddings again (#7588)

  • Fixed small bug with setting query_wrapper_prompt in the service context (#7585)

Breaking/Deprecated API Changes#

  • Clean up vector store interface to use BaseNode instead of NodeWithEmbedding

    • For majority of users, this is a no-op change

    • For users directly operating with the VectorStore abstraction and manually constructing NodeWithEmbedding objects, this is a minor breaking change. Use TextNode with embedding set directly, instead of NodeWithEmbedding.

[0.8.21] - 2023-09-06#

New Features#

  • add embedding adapter fine-tuning engine + guide (#7565)

  • Added support for Azure Cognitive Search vector store (#7469)

  • Support delete in supabase (#6951)

  • Added support for Espilla vector store (#7539)

  • Added support for AnyScale LLM (#7497)

Bug Fixes / Nits#

  • Default to user-configurable top-k in VectorIndexAutoRetriever (#7556)

  • Catch validation errors for structured responses (#7523)

  • Fix streaming refine template (#7561)

[0.8.20] - 2023-09-04#

New Features#

  • Added Portkey LLM integration (#7508)

  • Support postgres/pgvector hybrid search (#7501)

  • upgrade recursive retriever node reference notebook (#7537)

[0.8.19] - 2023-09-03#

New Features#

  • replace list index with summary index (#7478)

  • rename list index to summary index part 2 (#7531)

[0.8.18] - 2023-09-03#

New Features#

  • add agent finetuning guide (#7526)

[0.8.17] - 2023-09-02#

New Features#

  • Make (some) loaders serializable (#7498)

  • add node references to recursive retrieval (#7522)

Bug Fixes / Nits#

  • Raise informative error when metadata is too large during splitting (#7513)

  • Allow langchain splitter in simple node parser (#7517)

[0.8.16] - 2023-09-01#

Bug Fixes / Nits#

  • fix link to Marvin notebook in docs (#7504)

  • Ensure metadata is not None in SimpleWebPageReader (#7499)

  • Fixed KGIndex visualization (#7493)

  • Improved empty response in KG Index (#7493)

[0.8.15] - 2023-08-31#

New Features#

  • Added support for MarvinEntityExtractor metadata extractor (#7438)

  • Added a url_metadata callback to SimpleWebPageReader (#7445)

  • Expanded callback logging events (#7472)

Bug Fixes / Nits#

  • Only convert newlines to spaces for text 001 embedding models in OpenAI (#7484)

  • Fix KnowledgeGraphRagRetriever for non-nebula indexes (#7488)

  • Support defined embedding dimension in PGVectorStore (#7491)

  • Greatly improved similarity calculation speed for the base vector store (#7494)

[0.8.14] - 2023-08-30#

New Features#

  • feat: non-kg heterogeneous graph support in Graph RAG (#7459)

  • rag guide (#7480)

Bug Fixes / Nits#

  • Improve openai fine-tuned model parsing (#7474)

  • doing some code de-duplication (#7468)

  • support both str and templates for query_wrapper_prompt in HF LLMs (#7473)

[0.8.13] - 2023-08-29#

New Features#

  • Add embedding finetuning (#7452)

  • Added support for RunGPT LLM (#7401)

  • Integration guide and notebook with DeepEval (#7425)

  • Added VectorIndex and VectaraRetriever as a managed index (#7440)

  • Added support for to_tool_list to detect and use async functions (#7282)

[0.8.12] - 2023-08-28#

New Features#

  • add openai finetuning class (#7442)

  • Service Context to/from dict (#7395)

  • add finetuning guide (#7429)

Smaller Features / Nits / Bug Fixes#

  • Add example how to run FalkorDB docker (#7441)

  • Update root.md to use get_response_synthesizer expected type. (#7437)

  • Bugfix MonsterAPI Pydantic version v2/v1 support. Doc Update (#7432)

[0.8.11.post3] - 2023-08-27#

New Features#

  • AutoMergingRetriever (#7420)

[0.8.10.post1] - 2023-08-25#

New Features#

  • Added support for MonsterLLM using MonsterAPI (#7343)

  • Support comments fields in NebulaGraphStore and int type VID (#7402)

  • Added configurable endpoint for DynamoDB (#6777)

  • Add structured answer filtering for Refine response synthesizer (#7317)

Bug Fixes / Nits#

  • Use utf-8 for json file reader (#7390)

  • Fix entity extractor initialization (#7407)

[0.8.9] - 2023-08-24#

New Features#

  • Added support for FalkorDB/RedisGraph graph store (#7346)

  • Added directed sub-graph RAG (#7378)

  • Added support for BM25Retriever (#7342)

Bug Fixes / Nits#

  • Added max_tokens to Xinference LLM (#7372)

  • Support cache dir creation in multithreaded apps (#7365)

  • Ensure temperature is a float for openai (#7382)

  • Remove duplicate subjects in knowledge graph retriever (#7378)

  • Added support for both pydantic v1 and v2 to allow other apps to move forward (#7394)

Breaking/Deprecated API Changes#

  • Refactor prompt template (#7319)

    • Use BasePromptTemplate for generic typing

    • Use PromptTemplate, ChatPromptTemplate, SelectorPromptTemplate as core implementations

    • Use LangchainPromptTemplate for compatibility with Langchain prompt templates

    • Fully replace specific prompt classes (e.g. SummaryPrompt) with generic BasePromptTemplate for typing in codebase.

    • Keep Prompt as an alias for PromptTemplate for backwards compatibility.

    • BREAKING CHANGE: remove support for Prompt.from_langchain_prompt, please use template=LangchainPromptTemplate(lc_template) instead.

[0.8.8] - 2023-08-23#

New Features#

  • OpenAIFineTuningHandler for collecting LLM inputs/outputs for OpenAI fine tuning (#7367)

Bug Fixes / Nits#

  • Add support for claude-instant-1.2 (#7369)

[0.8.7] - 2023-08-22#

New Features#

  • Support fine-tuned OpenAI models (#7364)

  • Added support for Cassandra vector store (#6784)

  • Support pydantic fields in tool functions (#7348)

Bug Fixes / Nits#

  • Fix infinite looping with forced function call in OpenAIAgent (#7363)

[0.8.6] - 2023-08-22#

New Features#

  • auto vs. recursive retriever notebook (#7353)

  • Reader and Vector Store for BagelDB with example notebooks (#7311)

Bug Fixes / Nits#

  • Use service context for intermediate index in retry source query engine (#7341)

  • temp fix for prompt helper + chat models (#7350)

  • Properly skip unit-tests when packages not installed (#7351)

[0.8.5.post2] - 2023-08-20#

New Features#

  • Added FireStore docstore/index store support (#7305)

  • add recursive agent notebook (#7330)

Bug Fixes / Nits#

  • Fix Azure pydantic error (#7329)

  • fix callback trace ids (make them a context var) (#7331)

[0.8.5.post1] - 2023-08-18#

New Features#

  • Awadb Vector Store (#7291)

Bug Fixes / Nits#

  • Fix bug in OpenAI llm temperature type

[0.8.5] - 2023-08-18#

New Features#

  • Expose a system prompt/query wrapper prompt in the service context for open-source LLMs (#6647)

  • Changed default MyScale index format to MSTG (#7288)

  • Added tracing to chat engines/agents (#7304)

  • move LLM and embeddings to pydantic (#7289)

Bug Fixes / Nits#

  • Fix sentence splitter bug (#7303)

  • Fix sentence splitter infinite loop (#7295)

[0.8.4] - 2023-08-17#

Bug Fixes / Nits#

  • Improve SQL Query parsing (#7283)

  • Fix loading embed_model from global service context (#7284)

  • Limit langchain version until we migrate to pydantic v2 (#7297)

[0.8.3] - 2023-08-16#

New Features#

  • Added Knowledge Graph RAG Retriever (#7204)

Bug Fixes / Nits#

  • accept api_key kwarg in OpenAI LLM class constructor (#7263)

  • Fix to create separate queue instances for separate instances of StreamingAgentChatResponse (#7264)

[0.8.2.post1] - 2023-08-14#

New Features#

  • Added support for Rockset as a vector store (#7111)

Bug Fixes#

  • Fixed bug in service context definition that could disable LLM (#7261)

[0.8.2] - 2023-08-14#

New Features#

  • Enable the LLM or embedding model to be disabled by setting to None in the service context (#7255)

  • Resolve nearly any huggingface embedding model using the embed_model="local:<model_name>" syntax (#7255)

  • Async tool-calling support (#7239)

Bug Fixes / Nits#

  • Updated supabase kwargs for add and query (#7103)

  • Small tweak to default prompts to allow for more general purpose queries (#7254)

  • Make callback manager optional for CustomLLM + docs update (#7257)

[0.8.1] - 2023-08-13#

New Features#

  • feat: add node_postprocessors to ContextChatEngine (#7232)

  • add ensemble query engine tutorial (#7247)

Smaller Features#

  • Allow EMPTY keys for Fastchat/local OpenAI API endpoints (#7224)

[0.8.0] - 2023-08-11#

New Features#

  • Added “LLAMA_INDEX_CACHE_DIR” to control cached files (#7233)

  • Default to pydantic selectors when possible (#7154, #7223)

  • Remove the need for langchain wrappers on embed_model in the service context (#7157)

  • Metadata extractors take an LLM object now, in addition to LLMPredictor (#7202)

  • Added local mode + fallback to llama.cpp + llama2 (#7200)

  • Added local fallback for embeddings to BAAI/bge-small-en (#7200)

  • Added SentenceWindowNodeParser + MetadataReplacementPostProcessor (#7211)

Breaking Changes#

  • Change default LLM to gpt-3.5-turbo from text-davinci-003 (#7223)

  • Change prompts for compact/refine/tree_summarize to work better with gpt-3.5-turbo (#7150, #7179, #7223)

  • Increase default LLM temperature to 0.1 (#7180)

[0.7.24.post1] - 2023-08-11#

Other Changes#

  • Reverted #7223 changes to defaults (#7235)

[0.7.24] - 2023-08-10#

New Features#

  • Default to pydantic selectors when possible (#7154, #7223)

  • Remove the need for langchain wrappers on embed_model in the service context (#7157)

  • Metadata extractors take an LLM object now, in addition to LLMPredictor (#7202)

  • Added local mode + fallback to llama.cpp + llama2 (#7200)

  • Added local fallback for embeddings to BAAI/bge-small-en (#7200)

  • Added SentenceWindowNodeParser + MetadataReplacementPostProcessor (#7211)

Breaking Changes#

  • Change default LLM to gpt-3.5-turbo from text-davinci-003 (#7223)

  • Change prompts for compact/refine/tree_summarize to work better with gpt-3.5-turbo (#7150, #7179, #7223)

  • Increase default LLM temperature to 0.1 (#7180)

Other Changes#

  • docs: Improvements to Mendable Search (#7220)

  • Refactor openai agent (#7077)

Bug Fixes / Nits#

  • Use 1 - cosine_distance for pgvector/postgres vector db (#7217)

  • fix metadata formatting and extraction (#7216)

  • fix(readers): Fix non-ASCII JSON Reader bug (#7086)

  • Chore: change PgVectorStore variable name from sim to distance for clarity (#7226)

[0.7.23] - 2023-08-10#

Bug Fixes / Nits#

  • Fixed metadata formatting with custom tempalates and inheritance (#7216)

[0.7.23] - 2023-08-10#

New Features#

  • Add “one click observability” page to docs (#7183)

  • Added Xorbits inference for local deployments (#7151)

  • Added Zep vector store integration (#7203)

  • feat/zep vectorstore (#7203)

Bug Fixes / Nits#

  • Update the default EntityExtractor model (#7209)

  • Make ChatMemoryBuffer pickleable (#7205)

  • Refactored BaseOpenAIAgent (#7077)

[0.7.22] - 2023-08-08#

New Features#

  • add ensemble retriever notebook (#7190)

  • DOCS: added local llama2 notebook (#7146)

Bug Fixes / Nits#

  • Fix for AttributeError: 'OpenAIAgent' object has no attribute 'callback_manager' by calling super constructor within BaseOpenAIAgent

  • Remove backticks from nebula queries (#7192)

[0.7.21] - 2023-08-07#

New Features#

  • Added an EntityExtractor for metadata extraction (#7163)

[0.7.20] - 2023-08-06#

New Features#

  • add router module docs (#7171)

  • add retriever router (#7166)

New Features#

  • Added a RouterRetriever for routing queries to specific retrievers (#7166)

Bug Fixes / Nits#

  • Fix for issue where having multiple concurrent streamed responses from OpenAIAgent would result in interleaving of tokens across each response stream. (#7164)

  • fix llms callbacks issue (args[0] error) (#7165)

[0.7.19] - 2023-08-04#

New Features#

  • Added metadata filtering to weaviate (#7130)

  • Added token counting (and all callbacks) to agents and streaming (#7122)

[0.7.18] - 2023-08-03#

New Features#

  • Added to/from_string and to/from_dict methods to memory objects (#7128)

  • Include columns comments from db tables in table info for SQL queries (#7124)

  • Add Neo4j support (#7122)

Bug Fixes / Nits#

  • Added Azure AD validation support to the AzureOpenAI class (#7127)

  • add flush=True when printing agent/chat engine response stream (#7129)

  • Added Azure AD support to the AzureOpenAI class (#7127)

  • Update LLM question generator prompt to mention JSON markdown (#7105)

  • Fixed astream_chat in chat engines (#7139)

[0.7.17] - 2023-08-02#

New Features#

  • Update ReActAgent to support memory modules (minor breaking change since the constructor takes memory instead of chat_history, but the main from_tools method remains backward compatible.) (#7116)

  • Update ReActAgent to support streaming (#7119)

  • Added Neo4j graph store and query engine integrations (#7122)

  • add object streaming (#7117)

[0.7.16] - 2023-07-30#

New Features#

  • Chat source nodes (#7078)

[0.7.15] - 2023-07-29#

Bug Fixes / Nits#

  • anthropic api key customization (#7082)

  • Fix broken link to API reference in Contributor Docs (#7080)

  • Update vector store docs (#7076)

  • Update comment (#7073)

[0.7.14] - 2023-07-28#

New Features#

  • Added HotpotQADistractor benchmark evaluator (#7034)

  • Add metadata filter and delete support for LanceDB (#7048)

  • Use MetadataFilters in opensearch (#7005)

  • Added support for KuzuGraphStore (#6970)

  • Added kg_triplet_extract_fn to customize how KGs are built (#7068)

Bug Fixes / Nits#

  • Fix string formatting in context chat engine (#7050)

  • Fixed tracing for async events (#7052)

  • Less strict triplet extraction for KGs (#7059)

  • Add configurable limit to KG data retrieved (#7059)

  • Nebula connection improvements (#7059)

  • Bug fix in building source nodes for agent response (#7067)

[0.7.13] - 2023-07-26#

New Features#

  • Support function calling api for AzureOpenAI (#7041)

Bug Fixes / Nits#

  • tune prompt to get rid of KeyError in SubQ engine (#7039)

  • Fix validation of Azure OpenAI keys (#7042)

[0.7.12] - 2023-07-25#

New Features#

  • Added kwargs to ComposableGraph for the underlying query engines (#6990)

  • Validate openai key on init (#6940)

  • Added async embeddings and async RetrieverQueryEngine (#6587)

  • Added async aquery and async_add to PGVectorStore (#7031)

  • Added .source_nodes attribute to chat engine and agent responses (#7029)

  • Added OpenInferenceCallback for storing generation data in OpenInference format (#6998)

Bug Fixes / Nits#

  • Fix achat memory initialization for data agents (#7000)

  • Add print_response_stream() to agengt/chat engine response class (#7018)

Bug Fixes / Nits#

  • Fix achat memory initialization for data agents (#7000)

  • Add print_response_stream() to agengt/chat engine response class (#7018)

[v0.7.11.post1] - 2023-07-20#

New Features#

  • Default to pydantic question generation when possible for sub-question query engine (#6979)

Bug Fixes / Nits#

  • Fix returned order of messages in large chat memory (#6979)

[v0.7.11] - 2023-07-19#

New Features#

  • Added a SentenceTransformerRerank node post-processor for fast local re-ranking (#6934)

  • Add numpy support for evaluating queries in pandas query engine (#6935)

  • Add metadata filtering support for Postgres Vector Storage integration (#6968)

  • Proper llama2 support for agents and query engines (#6969)

Bug Fixes / Nits#

  • Added model_name to LLMMetadata (#6911)

  • Fallback to retriever service context in query engines (#6911)

  • Fixed as_chat_engine() ValueError with extra kwargs (#6971

[v0.7.10.post1] - 2023-07-18#

New Features#

  • Add support for Replicate LLM (vicuna & llama 2!)

Bug Fixes / Nits#

  • fix streaming for condense chat engine (#6958)

[v0.7.10] - 2023-07-17#

New Features#

  • Add support for chroma v0.4.0 (#6937)

  • Log embedding vectors to callback manager (#6962)

Bug Fixes / Nits#

  • add more robust embedding timeouts (#6779)

  • improved connection session management on postgres vector store (#6843)

[v0.7.9] - 2023-07-15#

New Features#

  • specify embed_model="local" to use default local embbeddings in the service context (#6806)

  • Add async acall endpoint to BasePydanticProgram (defaults to sync version). Implement for OpenAIPydanticProgram

Bug Fixes / Nits#

  • fix null metadata for searching existing vector dbs (#6912)

  • add module guide docs for SimpleDirectoryReader (#6916)

  • make sure CondenseQuestionChatEngine streaming chat endpoints work even if not explicitly setting streaming=True in the underlying query engine.

[v0.7.8] - 2023-07-13#

New Features#

  • Added embedding speed benchmark (#6876)

  • Added BEIR retrieval benchmark (#6825)

Bug Fixes / Nits#

  • remove toctrees from deprecated_terms (#6895)

  • Relax typing dependencies (#6879)

  • docs: modification to evaluation notebook (#6840)

  • raise error if the model does not support functions (#6896)

  • fix(bench embeddings): bug not taking into account string length (#6899)x

[v0.7.7] - 2023-07-13#

New Features#

  • Improved milvus consistency support and output fields support (#6452)

  • Added support for knowledge graph querying w/ cypyer+nebula (#6642)

  • Added Document.example() to create documents for fast prototyping (#6739)

  • Replace react chat engine to use native reactive agent (#6870)

Bug Fixes / Nits#

  • chore: added a help message to makefile (#6861)

Bug Fixes / Nits#

  • Fixed support for using SQLTableSchema context_str attribute (#6891)

[v0.7.6] - 2023-07-12#

New Features#

  • Added sources to agent/chat engine responses (#6854)

  • Added basic chat buffer memory to agents / chat engines (#6857)

  • Adding load and search tool (#6871)

  • Add simple agent benchmark (#6869)

  • add agent docs (#6866)

  • add react agent (#6865)

Breaking/Deprecated API Changes#

  • Replace react chat engine with native react agent (#6870)

  • Set default chat mode to “best”: use openai agent when possible, otherwise use react agent (#6870)

Bug Fixes / Nits#

  • Fixed support for legacy vector store metadata (#6867)

  • fix chroma notebook in docs (#6872)

  • update LC embeddings docs (#6868)

[v0.7.5] - 2023-07-11#

New Features#

  • Add Anthropic LLM implementation (#6855)

Bug Fixes / Nits#

  • Fix indexing error in SentenceEmbeddingOptimizer (#6850)

  • fix doc for custom embedding model (#6851)

  • fix(silent error): Add validation to SimpleDirectoryReader (#6819)

  • Fix link in docs (#6833)

  • Fixes Azure gpt-35-turbo model not recognized (#6828)

  • Update Chatbot_SEC.ipynb (#6808)

  • Rename leftover original name to LlamaIndex (#6792)

  • patch nested traces of the same type (#6791)

[v0.7.4] - 2023-07-08#

New Features#

  • MetadataExtractor - Documnent Metadata Augmentation via LLM-based feature extractors (#6764)

Bug Fixes / Nits#

  • fixed passing in query bundle to node postprocessors (#6780)

  • fixed error in callback manager with nested traces (#6791)

[v0.7.3] - 2023-07-07#

New Features#

  • Sub question query engine returns source nodes of sub questions in the callback manager (#6745)

  • trulens integration (#6741)

  • Add sources to subquestion engine (#6745)

Bug Fixes / Nits#

  • Added/Fixed streaming support to simple and condense chat engines (#6717)

  • fixed response_mode="no_text" response synthesizer (#6755)

  • fixed error setting num_output and context_window in service context (#6766)

  • Fix missing as_query_engine() in tutorial (#6747)

  • Fixed variable sql_query_engine in the notebook (#6778)

  • fix required function fields (#6761)

  • Remove usage of stop token in Prompt, SQL gen (#6782)

[v0.7.2] - 2023-07-06#

New Features#

  • Support Azure OpenAI (#6718)

  • Support prefix messages (e.g. system prompt) in chat engine and OpenAI agent (#6723)

  • Added CBEventType.SUB_QUESTIONS event type for tracking sub question queries/responses (#6716)

Bug Fixes / Nits#

  • Fix HF LLM output error (#6737)

  • Add system message support for langchain message templates (#6743)

  • Fixed applying node-postprocessors (#6749)

  • Add missing CustomLLM import under llama_index.llms (#6752)

  • fix(typo): get_transformer_tokenizer_fn (#6729)

  • feat(formatting): black[jupyter] (#6732)

  • fix(test): test_optimizer_chinese (#6730)

[v0.7.1] - 2023-07-05#

New Features#

  • Streaming support for OpenAI agents (#6694)

  • add recursive retriever + notebook example (#6682)

[v0.7.0] - 2023-07-04#

New Features#

  • Index creation progress bars (#6583)

Bug Fixes/ Nits#

  • Improved chat refine template (#6645)

Breaking/Deprecated API Changes#

  • Change BaseOpenAIAgent to use llama_index.llms.OpenAI. Adjust chat_history to use List[ChatMessage]] as type.

  • Remove (previously deprecated) llama_index.langchain_helpers.chain_wrapper module.

  • Remove (previously deprecated) llama_index.token_counter.token_counter module. See migration guide for more details on new callback based token counting.

  • Remove ChatGPTLLMPredictor and HuggingFaceLLMPredictor. See migration guide for more details on replacements.

  • Remove support for setting cache via LLMPredictor constructor.

  • Update BaseChatEngine interface:

    • adjust chat_history to use List[ChatMessage]] as type

    • expose chat_history state as a property

    • support overriding chat_history in chat and achat endpoints

  • Remove deprecated arguments for PromptHelper: max_input_size, embedding_limit, max_chunk_overlap

  • Update all notebooks to use native openai integration (#6696)

[v0.6.38] - 2023-07-02#

New Features#

  • add optional tqdm progress during index creation (#6583)

  • Added async support for “compact” and “refine” response modes (#6590)

  • [feature]add transformer tokenize functionalities for optimizer (chinese) (#6659)

  • Add simple benchmark for vector store (#6670)

  • Introduce llama_index.llms module, with new LLM interface, and OpenAI, HuggingFaceLLM, LangChainLLM implementations. (#6615)

  • Evaporate pydantic program (#6666)

Bug Fixes / Nits#

  • Improve metadata/node storage and retrieval for RedisVectorStore (#6678)

  • Fixed node vs. document filtering in vector stores (#6677)

  • add context retrieval agent notebook link to docs (#6660)

  • Allow null values for the ‘image’ property in the ImageNode class and se… (#6661)

  • Fix broken links in docs (#6669)

  • update milvus to store node content (#6667)

[v0.6.37] - 2023-06-30#

New Features#

  • add context augmented openai agent (#6655)

[v0.6.36] - 2023-06-29#

New Features#

  • Redis support for index stores and docstores (#6575)

  • DuckDB + SQL query engine notebook (#6628)

  • add notebook showcasing deplot data loader (#6638)

Bug Fixes / Nits#

  • More robust JSON parsing from LLM for SelectionOutputParser (#6610)

  • bring our loaders back in line with llama-hub (#6630)

  • Remove usage of SQLStructStoreIndex in notebooks (#6585)

  • MD reader: remove html tags and leave linebreaks alone (#6618)

  • bump min langchain version to latest version (#6632)

  • Fix metadata column name in postgres vector store (#6622)

  • Postgres metadata fixes (#6626, #6634)

  • fixed links to dataloaders in contribution.md (#6636)

  • fix: typo in docs in creating custom_llm huggingface example (#6639)

  • Updated SelectionOutputParser to handle JSON objects and arrays (#6610)

  • Fixed docstring argument typo (#6652)

[v0.6.35] - 2023-06-28#

  • refactor structured output + pydantic programs (#6604)

Bug Fixes / Nits#

  • Fix serialization for OpenSearch vector stores (#6612)

  • patch docs relationships (#6606)

  • Bug fix for ignoring directories while parsing git repo (#4196)

  • updated Chroma notebook (#6572)

  • Backport old node name (#6614)

  • Add the ability to change chroma implementation (#6601)

[v0.6.34] - 2023-06-26#

Patch Update (v0.6.34.post1)#

  • Patch imports for Document obj for backwards compatibility (#6597)

New Features#

  • New TextNode/Document object classes based on pydantic (#6586)

  • TextNode/Document objects support metadata customization (metadata templates, exclude metadata from LLM or embeddings) (#6586)

  • Nodes no longer require flat metadata dictionaries, unless the vector store you use requires it (#6586)

Bug Fixes / Nits#

  • use NLTK_DATA env var to control NLTK download location (#6579)

  • [discord] save author as metadata in group_conversations.py (#6592)

  • bs4 -> beautifulsoup4 in requirements (#6582)

  • negate euclidean distance (#6564)

  • add df output parser notebook link to docs (#6581)

Breaking/Deprecated API Changes#

  • Node has been renamed to TextNode and is imported from llama_index.schema (#6586)

  • TextNode and Document must be instantiated with kwargs: Document(text=text) (#6586)

  • TextNode (fka Node) has a id_ or node_id property, rather than doc_id (#6586)

  • TextNode and Document have a metadata property, which replaces the extra_info property (#6586)

  • TextNode no longer has a node_info property (start/end indexes are accessed directly with start/end_char_idx attributes) (#6586)

[v0.6.33] - 2023-06-25#

New Features#

  • Add typesense vector store (#6561)

  • add df output parser (#6576)

Bug Fixes / Nits#

  • Track langchain dependency via bridge module. (#6573)

[v0.6.32] - 2023-06-23#

New Features#

  • add object index (#6548)

  • add SQL Schema Node Mapping + SQLTableRetrieverQueryEngine + obj index fixes (#6569)

  • sql refactor (NLSQLTableQueryEngine) (#6529)

Bug Fixes / Nits#

  • Update vector_stores.md (#6562)

  • Minor BaseResponseBuilder interface cleanup (#6557)

  • Refactor TreeSummarize (#6550)

[v0.6.31] - 2023-06-22#

Bug Fixes / Nits#

  • properly convert weaviate distance to score (#6545)

  • refactor tree summarize and fix bug to not truncate context (#6550)

  • fix custom KG retrieval notebook nits (#6551)

[v0.6.30] - 2023-06-21#

New Features#

  • multi-selector support in router query engine (#6518)

  • pydantic selector support in router query engine using OpenAI function calling API (#6518)

  • streaming response support in CondenseQuestionChatEngine and SimpleChatEngine (#6524)

  • metadata filtering support in QdrantVectorStore (#6476)

  • add PGVectorStore to support postgres with pgvector (#6190)

Bug Fixes / Nits#

  • better error handling in the mbox reader (#6248)

  • Fix blank similarity score when using weaviate (#6512)

  • fix for sorted nodes in PrevNextNodePostprocessor (#6048)

Breaking/Deprecated API Changes#

  • Refactor PandasQueryEngine to take in df directly, deprecate PandasIndex (#6527)

[v0.6.29] - 2023-06-20#

New Features#

  • query planning tool with OpenAI Function API (#6520)

  • docs: example of kg+vector index (#6497)

  • Set context window sizes for Cohere and AI21(J2 model) (#6485)

Bug Fixes / Nits#

  • add default input size for Cohere and AI21 (#6485)

  • docs: replace comma with colon in dict object (#6439)

  • extra space in prompt and error message update (#6443)

  • [Issue 6417] Fix prompt_templates docs page (#6499)

  • Rip out monkey patch and update model to context window mapping (#6490)

[v0.6.28] - 2023-06-19#

New Features#

  • New OpenAI Agent + Query Engine Cookbook (#6496)

  • allow recursive data extraction (pydantic program) (#6503)

Bug Fixes / Nits#

  • update mongo interface (#6501)

  • fixes that we forgot to include for openai pydantic program (#6503) (#6504)

  • Fix github pics in Airbyte notebook (#6493)

[v0.6.27] - 2023-06-16#

New Features#

  • Add node doc_id filtering to weaviate (#6467)

  • New TokenCountingCallback to customize and track embedding, prompt, and completion token usage (#6440)

  • OpenAI Retrieval Function Agent (#6491)

Breaking/Deprecated API Changes#

  • Deprecated current token tracking (llm predictor and embed model will no longer track tokens in the future, please use the TokenCountingCallback (#6440)

  • Add maximal marginal relevance to the Simple Vector Store, which can be enabled as a query mode (#6446)

Bug Fixes / Nits#

  • as_chat_engine properly inherits the current service context (#6470)

  • Use namespace when deleting from pinecone (#6475)

  • Fix paths when using fsspec on windows (#3778)

  • Fix for using custom file readers in SimpleDirectoryReader (#6477)

  • Edit MMR Notebook (#6486)

  • FLARE fixes (#6484)

[v0.6.26] - 2023-06-14#

New Features#

  • Add OpenAIAgent and tutorial notebook for “build your own agent” (#6461)

  • Add OpenAIPydanticProgram (#6462)

Bug Fixes / Nits#

  • Fix citation engine import (#6456)

[v0.6.25] - 2023-06-13#

New Features#

  • Added FLARE query engine (#6419).

[v0.6.24] - 2023-06-12#

New Features#

  • Added better support for vector store with existing data (e.g. allow configurable text key) for Pinecone and Weaviate. (#6393)

  • Support batched upsert for Pineone (#6393)

  • Added initial guidance integration. Added GuidancePydanticProgram for generic structured output generation and GuidanceQuestionGenerator for generating sub-questions in SubQuestionQueryEngine (#6246).

[v0.6.23] - 2023-06-11#

Bug Fixes / Nits#

  • Remove hardcoded chunk size for citation query engine (#6408)

  • Mongo demo improvements (#6406)

  • Fix notebook (#6418)

  • Cleanup RetryQuery notebook (#6381)

[v0.6.22] - 2023-06-10#

New Features#

  • Added SQLJoinQueryEngine (generalization of SQLAutoVectorQueryEngine) (#6265)

  • Added support for graph stores under the hood, and initial support for Nebula KG. More docs coming soon! (#2581)

  • Added guideline evaluator to allow llm to provide feedback based on user guidelines (#4664)

  • Added support for MongoDB Vector stores to enable Atlas knnbeta search (#6379)

  • Added new CitationQueryEngine for inline citations of sources in response text (#6239)

Bug Fixes#

  • Fixed bug with delete_ref_doc not removing all metadata from the docstore (#6192)

  • FIxed bug with loading existing QDrantVectorStore (#6230)

Miscellaneous#

  • Added changelog officially to github repo (#6191)

[v0.6.21] - 2023-06-06#

New Features#

  • SimpleDirectoryReader has new filename_as_id flag to automatically set the doc_id (useful for refresh_ref_docs())

  • DocArray vector store integration

  • Tair vector store integration

  • Weights and Biases callback handler for tracing and versioning indexes

  • Can initialize indexes directly from a vector store: index = VectorStoreIndex.from_vector_store(vector_store=vector_store)

Bug Fixes#

  • Fixed multimodal notebook

  • Updated/fixed the SQL tutorial in the docs

Miscellaneous#

  • Minor docs updates

  • Added github pull-requset templates

  • Added github issue-forms

[v0.6.20] - 2023-06-04#

New Features#

  • Added new JSONQueryEngine that uses JSON schema to deliver more accurate JSON query answers

  • Metadata support for redis vector-store

  • Added Supabase vector store integration

Bug Fixes#

  • Fixed typo in text-to-sql prompt

Breaking/Deprecated API Changes#

  • Removed GPT prefix from indexes (old imports/names are still supported though)

Miscellaneous#

  • Major docs updates, brought important modules to the top level

[v0.6.19] - 2023-06-02#

New Features#

  • Added agent tool abstraction for llama-hub data loaders

Miscellaneous#

  • Minor doc updates

[v0.6.18] - 2023-06-02#

Miscellaneous#

  • Added Discover LlamaIndex video series to the tutorials docs section

  • Minor docs updates