/QA-System-with-LangChain

This notebook showcases a LangChain-based question-answering system tailored for a PDF text on energy renovation aids in France. It integrates BM25Retriever and ChromaDB for text similarity and information retrieval, alongside EnsembleRetriever for enhanced QA performance.

Primary LanguageJupyter Notebook

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