RAG_testing

Trying to learn how to do retrieval augmented generation with LangChain using LangChain Open tutorial.

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
documents		documents
images		images
outputs		outputs
prompts		prompts
.gitignore		.gitignore
000_Prototype_2.ipynb		000_Prototype_2.ipynb
00_RAG_Prototype_Starter_OpenAI-FAISS.ipynb		00_RAG_Prototype_Starter_OpenAI-FAISS.ipynb
01_basicLangChain.ipynb		01_basicLangChain.ipynb
02_basic_RAG.ipynb		02_basic_RAG.ipynb
03_basicWebLoader.ipynb		03_basicWebLoader.ipynb
04_RAPTOR_LongContext_Summary.ipynb		04_RAPTOR_LongContext_Summary.ipynb
05_Conversation_With_History.ipynb		05_Conversation_With_History.ipynb
06_Other_Rag_Tests.ipynb		06_Other_Rag_Tests.ipynb
README.md		README.md
app.py		app.py
generated_unit_plan.txt		generated_unit_plan.txt
rag_log.txt		rag_log.txt
rag_outputs.jsonl		rag_outputs.jsonl

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