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  **A Streamlit-powered app for querying multiple document types using Watsonx and LangChain.**
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- This project allows users to upload various file formats (PDFs, DOCX, CSV, JSON, YAML, HTML, etc.) and retrieve contextually accurate responses using Watsonx LLM models and LangChain. The app provides a seamless interface to perform retrieval-augmented generation (RAG) from uploaded documents.
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  **Note**: While this app runs efficiently on machines with low specifications, for faster indexing and response times, I recommend using a more powerful machine.
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  **A Streamlit-powered app for querying multiple document types using Watsonx and LangChain.**
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+ This project allows users to upload various file formats (PDFs, DOCX, CSV, JSON, YAML, HTML, etc.) and retrieve contextually accurate responses using Watsonx LLM models and LangChain. The app provides a seamless interface to perform retrieval-augmented generation (RAG) from uploaded documents
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  **Note**: While this app runs efficiently on machines with low specifications, for faster indexing and response times, I recommend using a more powerful machine.
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