hoangsonww/RAG-LangChain-AI-System
🧠A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks.
Implements multi-strategy retrieval combining semantic search (Chroma/FAISS), BM25 lexical matching, and optional cross-encoder reranking, with an agentic orchestrator that chains tool calls to backend APIs (team/investment/sector profiles, consultations) for evidence-backed responses. The Flask + Socket.IO RAG service streams completions in real-time to a React frontend while maintaining full request traceability, source attribution, and production controls (rate limiting, liveness probes, request IDs). Includes Docker, Kubernetes, and Terraform assets for end-to-end deployment, plus a MongoDB-backed Express API for structured portfolio data lookup.
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32
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10
Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 13, 2026
Commits (30d)
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