Cohere Rerank¶

If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.

In [ ]:

%pip install llama-index-postprocessor-cohere-rerank

%pip install llama-index-postprocessor-cohere-rerank

In [ ]:

!pip install llama-index

!pip install llama-index

In [ ]:

from llama_index.core import (
    VectorStoreIndex,
    SimpleDirectoryReader,
    pprint_response,
)

from llama_index.core import ( VectorStoreIndex, SimpleDirectoryReader, pprint_response, )

/Users/suo/miniconda3/envs/llama/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
  from .autonotebook import tqdm as notebook_tqdm

Download Data

In [ ]:

!mkdir -p 'data/paul_graham/'
!wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham/paul_graham_essay.txt'

!mkdir -p 'data/paul_graham/' !wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham/paul_graham_essay.txt'

In [ ]:

# load documents
documents = SimpleDirectoryReader("./data/paul_graham/").load_data()

# build index
index = VectorStoreIndex.from_documents(documents=documents)

# load documents documents = SimpleDirectoryReader("./data/paul_graham/").load_data() # build index index = VectorStoreIndex.from_documents(documents=documents)

Retrieve top 10 most relevant nodes, then filter with Cohere Rerank¶

In [ ]:

import os
from llama_index.postprocessor.cohere_rerank import CohereRerank


api_key = os.environ["COHERE_API_KEY"]
cohere_rerank = CohereRerank(api_key=api_key, top_n=2)

import os from llama_index.postprocessor.cohere_rerank import CohereRerank api_key = os.environ["COHERE_API_KEY"] cohere_rerank = CohereRerank(api_key=api_key, top_n=2)

In [ ]:

query_engine = index.as_query_engine(
    similarity_top_k=10,
    node_postprocessors=[cohere_rerank],
)
response = query_engine.query(
    "What did Sam Altman do in this essay?",
)

query_engine = index.as_query_engine( similarity_top_k=10, node_postprocessors=[cohere_rerank], ) response = query_engine.query( "What did Sam Altman do in this essay?", )

In [ ]:

pprint_response(response)

pprint_response(response)

Final Response: Sam Altman agreed to become the president of Y
Combinator in October 2013. He took over starting with the winter 2014
batch, and worked with the founders to help them get through Demo Day
in March 2014. He then reorganised Y Combinator to be controlled by
someone other than the founders, so that it could last for a long
time.
______________________________________________________________________
Source Node 1/2
Document ID: c1baaa76-acba-453b-a8d1-fdffbde1f424
Similarity: 0.845305
Text: day in 2010, when he was visiting California for interviews,
Robert Morris did something astonishing: he offered me unsolicited
advice. I can only remember him doing that once before. One day at
Viaweb, when I was bent over double from a kidney stone, he suggested
that it would be a good idea for him to take me to the hospital. That
was what it ...
______________________________________________________________________
Source Node 2/2
Document ID: abc0f1aa-464a-4ae1-9a7b-2d47a9dc967e
Similarity: 0.6486889
Text: due to our ignorance about investing. We needed to get
experience as investors. What better way, we thought, than to fund a
whole bunch of startups at once? We knew undergrads got temporary jobs
at tech companies during the summer. Why not organize a summer program
where they'd start startups instead? We wouldn't feel guilty for being
in a sense...

Directly retrieve top 2 most similar nodes¶

In [ ]:

query_engine = index.as_query_engine(
    similarity_top_k=2,
)
response = query_engine.query(
    "What did Sam Altman do in this essay?",
)

query_engine = index.as_query_engine( similarity_top_k=2, ) response = query_engine.query( "What did Sam Altman do in this essay?", )

Retrieved context is irrelevant and response is hallucinated.

In [ ]:

pprint_response(response)

pprint_response(response)

Final Response: Sam Altman was one of the founders of Y Combinator, a
startup accelerator. He was part of the first batch of startups funded
by Y Combinator, which included Reddit, Justin Kan and Emmett Shear's
Twitch, and Aaron Swartz. He was also involved in the Summer Founders
Program, which was a summer program where undergrads could start their
own startups instead of taking a summer job at a tech company. He also
helped to develop a new version of Arc, a programming language, and
wrote a book on Lisp.
______________________________________________________________________
Source Node 1/2
Document ID: abc0f1aa-464a-4ae1-9a7b-2d47a9dc967e
Similarity: 0.7940524933077708
Text: due to our ignorance about investing. We needed to get
experience as investors. What better way, we thought, than to fund a
whole bunch of startups at once? We knew undergrads got temporary jobs
at tech companies during the summer. Why not organize a summer program
where they'd start startups instead? We wouldn't feel guilty for being
in a sense...
______________________________________________________________________
Source Node 2/2
Document ID: 5d696e20-b496-47f0-9262-7aa2667c1d96
Similarity: 0.7899270712205545
Text: at RISD, but otherwise I was basically teaching myself to paint,
and I could do that for free. So in 1993 I dropped out. I hung around
Providence for a bit, and then my college friend Nancy Parmet did me a
big favor. A rent-controlled apartment in a building her mother owned
in New York was becoming vacant. Did I want it? It wasn't much more
tha...