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vector-embeddings

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This project is a RAG Q&A bot built in a jupyter notebook. It allows users to upload a custom document, which is then processed and stored in a Pinecone vector database using OpenAI embeddings. Users can ask questions about the document's content and receive accurate, context-aware answers generated by an OpenAI language model.

  • Updated Jul 10, 2025
  • Jupyter Notebook

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