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chromadb-

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RAG-based mutual fund analysis tool for Indian investors. Fetches real AMFI data, computes CAGR · Sharpe · Sortino, and answers natural language queries with structured fund comparisons using LLaMA 3.3 + ChromaDB + Streamlit. Dockerised multi-container setup, Kubernetes manifests, and GitHub Actions CI/CD pipeline.

  • Updated May 26, 2026
  • Python

🦜🔗 Self-correcting Agentic RAG agent built with LangGraph — combines Adaptive RAG, Corrective RAG (CRAG) & Self-RAG. Routes queries to vector store or web search, grades document relevance, and detects hallucinations before answering. Powered by Gemini 2.5 Flash, ChromaDB & Tavily.

  • Updated Jun 10, 2026
  • Python

Agentic RAG over your own documents: LangGraph agent with query routing and decomposition, self-correcting retrieval and hallucination-checked answers. Gemini, ChromaDB, FastAPI with streaming. Evaluated: 17/20 fully correct, 0 wrong, faithfulness 1.00.

  • Updated Oct 6, 2026
  • Python

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