justine-george/ai-markdown-llm-retrieval
AI-powered document query system using LangChain, ChromaDB, and OpenAI for efficient RAG-based information retrieval.
Supports cost estimation and token counting for embeddings and LLM queries before execution, with configurable embedding models (`text-embedding-3-small`) and LLM backends (defaults to `gpt-3.5-turbo`). The pipeline ingests markdown documents into ChromaDB via LangChain, performs similarity-based retrieval on queries, then synthesizes responses through OpenAI's models with full cost visibility upfront.
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6
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2
Language
Python
License
MIT
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Last pushed
Sep 10, 2024
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