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This project implements a Retrieval-Augmented Generation (RAG) chatbot capable of intelligent, document-aware conversations. It supports both local and cloud-based LLM inference and enables high-quality semantic search using vector stores like ChromaDB and Pinecone.
RAG powered chatbot for cultural event discovery. Fetches real events from Open Agenda, builds a FAISS vector index, and delivers context-aware recommendations through natural language queries. Built with LangChain, Mistral AI & Python.