abdulvahapmutlu/sales-data-qa

This project demonstrates a retrieval-augmented question-answering (QA) system for sales data stored in Excel files. The system combines ChromaDB for efficient document retrieval, HuggingFace embeddings for text encoding, and GPT-J-6B for natural language responses. This setup allows users to query data in English and receive context-aware answers.

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Jupyter Notebook

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MIT

Category

local-rag-frameworks

Last pushed

Nov 17, 2024

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Local RAG Frameworks · 196 tools

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