justine-george/ai-markdown-llm-retrieval
AI-powered document query system using LangChain, ChromaDB, and OpenAI for efficient RAG-based information retrieval.
This project helps software developers quickly get answers from their technical documentation by creating a searchable database from markdown files. You feed it your collection of `.md` documents, and it allows you to ask natural language questions to receive AI-generated answers based solely on your provided content. This is for developers or technical writers who manage extensive markdown-based documentation and need an efficient way to retrieve specific information.
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Use this if you need to quickly find specific information within a large collection of your own markdown-formatted technical documentation by asking questions in plain English.
Not ideal if your documentation is not in markdown format or if you need to query public web sources rather than your private documents.
Stars
6
Forks
2
Language
Python
License
MIT
Category
Last pushed
Sep 10, 2024
Commits (30d)
0
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