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LlamaIndex 🦙 0.9.11.post1

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LlamaIndex 🦙 0.9.11.post1

Getting Started

Installation and Setup
How to read these docs
Starter Tutorial
High-Level Concepts
Customization Tutorial
Discover LlamaIndex Video Series

Use Cases

Q&A
Chatbots
Agents
Structured Data Extraction
Multi-modal
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Understanding

Building an LLM application
Using LLMs
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- Privacy and Security
Loading
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- LlamaHub
Indexing
Storing
Querying
Putting It All Together
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- Q&A patterns
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- Full-Stack Web Application
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  - A Guide to Building a Full-Stack Web App with LLamaIndex
  - A Guide to Building a Full-Stack LlamaIndex Web App with Delphic
- How to Build a Chatbot
- Agents
- Full-Stack Projects
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Tracing and Debugging
Evaluating
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- Cost Analysis
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  - Usage Pattern

Optimizing

Basic Strategies
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Advanced Retrieval Strategies
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- Query Transformations
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  - HyDE Query Transform
  - Multi-Step Query Engine
- Pydantic Program
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- Query Engines + Pydantic Outputs
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- Structured Outputs
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  - Pydantic Program
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  - Query Engines + Pydantic Outputs
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- DeepMemory (Activeloop)
Agentic strategies
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Evaluation
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- End-to-End Evaluation
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- Component Wise Evaluation
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  - BEIR Out of Domain Benchmark
  - HotpotQADistractor Demo
- Evaluating
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  - Usage Pattern (Response Evaluation)
  - Usage Pattern (Retrieval)
  - Modules
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  - Evaluating With LabelledRagDataset’s
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    - Benchmarking RAG Pipelines With A LabelledRagDatatset
    - Downloading a LlamaDataset from LlamaHub
  - Contributing A LabelledRagDataset
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    - LlamaDataset Submission Template Notebook
- Component Wise Evaluation
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  - BEIR Out of Domain Benchmark
  - HotpotQADistractor Demo
- End-to-End Evaluation
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Fine-tuning
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Building Performant RAG Applications for Production
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Building RAG from Scratch (Lower-Level)
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Module Guides

Models
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Prompts
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Loading
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- Data Connectors (LlamaHub)
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  - Usage Pattern
  - Module Guides
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- Documents / Nodes
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  - Defining and Customizing Documents
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  - Defining and Customizing Nodes
- Node Parser Usage Pattern
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  - Node Parser Modules
- Ingestion Pipeline
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Indexing
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- How Each Index Works
- Usage Pattern
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  - Metadata Extraction
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  - Document Management
- Module Guides
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- Composability
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Storing
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Querying
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- Query Engine
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  - Usage Pattern
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    - Response Modes
    - Streaming
  - Module Guides
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  - Supporting Modules
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    - Query Transformations
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      - HyDE Query Transform
      - Multi-Step Query Engine
- Chat Engine
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  - Usage Pattern
  - Module Guides
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- Data Agents
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  - Usage Pattern
  - Module Guides
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  - Tools
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    - Usage Pattern
    - LlamaHub Tools Guide
- Retriever
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  - Retriever Modes
  - Retriever Modules
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- Response Synthesizer
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  - Response Synthesis Modules
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- Routers
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- Node Postprocessor
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  - Node Postprocessor Modules
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- Output Parsing Modules
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Observability
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Evaluating
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- Usage Pattern (Response Evaluation)
- Usage Pattern (Retrieval)
- Modules
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- Evaluating With LabelledRagDataset’s
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  - Benchmarking RAG Pipelines With A LabelledRagDatatset
  - Downloading a LlamaDataset from LlamaHub
- Contributing A LabelledRagDataset
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  - LlamaDataset Submission Template Notebook
Supporting Modules
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- ServiceContext

API Reference

API Reference
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- Callbacks
- Composability
- Evaluation
- Example Notebooks
- Finetuning
- Indices
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- LLM Predictors
- LLMs
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- Memory
- Node Postprocessor
- Node
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- Playground
- Prompt Templates
- Querying an Index
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  - Retrievers
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  - Response Synthesizer
  - Query Engines
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  - Chat Engines
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  - Query Bundle
  - Query Transform
- Data Connectors
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- Response
- Service Context
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  - Embeddings
  - OpenAIEmbedding
  - HuggingFaceEmbedding
  - OptimumEmbedding
  - InstructorEmbedding
  - LangchainEmbedding
  - GoogleUnivSentEncoderEmbedding
  - Node Parser
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  - PromptHelper
  - LLMs
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- Embeddings
- OpenAIEmbedding
- HuggingFaceEmbedding
- OptimumEmbedding
- InstructorEmbedding
- LangchainEmbedding
- GoogleUnivSentEncoderEmbedding
- Storage Context
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- Structured Index Configuration

Community

Integrations
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- Llama Packs 🦙📦
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  - Llama Packs Example
  - Llama Pack - Resume Screener 📄
- Observability
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- Tracing with Graphsignal
- Evaluating and Tracking with TruLens
- Unit Testing LLMs With DeepEval
- Guidance
- LM Format Enforcer
- Guardrails
- OpenAI Function Calling
- Using Vector Stores
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- Using Graph Stores
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- Using Managed Indices
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  - Vectara Managed Index
- Using with Langchain 🦜🔗
- Streamlit
- Chainlit
- LlamaIndex + Ray
- ChatGPT Plugin Integrations
- Poe
- Airbyte
- Fleet Context Embeddings - Building a Hybrid Search Engine for the Llamaindex Library
Frequently Asked Questions (FAQ)
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Full-Stack Projects
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Contributing

Contributing to LlamaIndex
Documentation Guide

Changes

ChangeLog
Deprecated Terms

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