RAG-based Question Answering system using LangChain, Groq LLM, and ChromaDB that processes PDFs and retrieves context-aware answers with source references.
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Updated
Mar 27, 2026 - Jupyter Notebook
RAG-based Question Answering system using LangChain, Groq LLM, and ChromaDB that processes PDFs and retrieves context-aware answers with source references.
🧭 Your AI compass for Kaggle. Analyzes competitions and suggests data-driven strategies using local RAG (Ollama/ChromaDB).
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