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data
data
 
 
streamlit-app
streamlit-app
 
 
README.md
README.md
 
 
biden-ai.txt
biden-ai.txt
 
 
books.txt
books.txt
 
 
chat-local.py
chat-local.py
 
 
chat-multi-extract-3.py
chat-multi-extract-3.py
 
 
chat-multi-extract-local.py
chat-multi-extract-local.py
 
 
chat-qa-summarize.py
chat-qa-summarize.py
 
 
chat-search.py
chat-search.py
 
 
chat.py
chat.py
 
 
chat_multi_extract.py
chat_multi_extract.py
 
 
context-retrieval.png
context-retrieval.png
 
 
doc-aware-guide-2.py
doc-aware-guide-2.py
 
 
doc-based-troubleshooting.py
doc-based-troubleshooting.py
 
 
doc-chat-2.py
doc-chat-2.py
 
 
doc-chat-multi-llm.py
doc-chat-multi-llm.py
 
 
employment.txt
employment.txt
 
 
extract-langchain.py
extract-langchain.py
 
 
extract-langroid.py
extract-langroid.py
 
 
extract-then-chat.py
extract-then-chat.py
 
 
filter-multi-doc-auto.py
filter-multi-doc-auto.py
 
 
filter-multi-doc-manual.py
filter-multi-doc-manual.py
 
 
filter-multi-doc-query-plan.py
filter-multi-doc-query-plan.py
 
 
filter-multi-doc.py
filter-multi-doc.py
 
 
giraffes.txt
giraffes.txt
 
 
lance-rag-gh-issues.py
lance-rag-gh-issues.py
 
 
lance-rag-movies.py
lance-rag-movies.py
 
 
langroid-chunking.png
langroid-chunking.png
 
 
langroid-lancedb-rag-movies.ipynb
langroid-lancedb-rag-movies.ipynb
 
 
langroid-oai.png
langroid-oai.png
 
 
lease.txt
lease.txt
 
 
oai-multi-extract.py
oai-multi-extract.py
 
 
oai-retrieval-2-summarizer.py
oai-retrieval-2-summarizer.py
 
 
oai-retrieval-2.py
oai-retrieval-2.py
 
 
oai-retrieval-assistant.py
oai-retrieval-assistant.py
 
 
rag-local-simple.py
rag-local-simple.py
 
 
retrieve-context-langchain.py
retrieve-context-langchain.py
 
 
retrieve-context-langroid.py
retrieve-context-langroid.py
 
 

README.md

This folder contains various example scripts and text files for RAG, a.k.a document-chat.

Example text files

These files are meant to test relevance-extraction using an LLM.

  • giraffes.txt: has statements about giraffes interspersed among other random statements. The idea is to use an LLM to retrieve sentences relevant to the query What do we know about giraffes?. Try this with the extract-langroid.py and extract-langchain.py scripts.
  • biden-ai.txt contains 4 blocks of entirely made-up (by GPT4) sentences of various types: President Biden, AI Regulation, What President Biden said about AI regulation, and Gov regulation in general. The idea is to use an LLM to retrieve sentences relevant to the query, What did President Biden say about AI Regulation?. Use the above two scripts to try this out.
  • lease.txt is a commercial lease document. This is meant to be used with the chat_multi_extract.py script, to extract structured lease info using a 2-agent system.