FareedKhan-dev/deep-thinking-rag
A Deep Thinking RAG Pipeline to Solve Complex Queries
Implements a multi-stage agentic RAG system that decomposes complex queries into structured research plans, then iteratively retrieves, reranks, and synthesizes evidence using supervisor agents, cross-encoders, and hybrid search strategies (vector/keyword/semantic). Built on LangChain with configurable LLM providers, it includes self-critique and policy-based control flow to decide when to refine the plan, continue research, or synthesize final answers—enabling multi-hop reasoning across both internal documents and web sources.
115 stars.
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115
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Jupyter Notebook
License
MIT
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Last pushed
Oct 19, 2025
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