emarco177/documentation-helper
Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..
Implements a complete RAG pipeline with Tavily-powered web crawling for real-time documentation ingestion into Pinecone's vector database, enabling context-aware retrieval with conversational memory for coreference resolution. The Streamlit frontend orchestrates LangChain agents that combine vector similarity search with OpenAI's LLM to generate cited answers, demonstrating end-to-end retrieval-augmented generation patterns for building domain-specific documentation assistants.
271 stars.
Stars
271
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284
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
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