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tool-usage-llm

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Md-Emon-Hasan / AutoDocThinker

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AutoDocThinker is a production-ready Agentic RAG system that ingests PDFs, DOCX, URLs, and raw text into a Hybrid Search index (ChromaDB + BM25 + RRF + CrossEncoder), then answers natural language queries through four selectable LangGraph workflows — Naive, Advanced, CRAG, and Self-RAG.

semantic-search-engine semantic-search bm25 document-retrieval ai-agents reranker rag vector-search ai-assistant crag document-intelligence advanced-rag corrective-rag agentic-ai self-rag ai-document-search auto-document-analysis tool-usage-llm smart-document-search planner-executor-agent
  • Updated May 16, 2026
  • Python

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