SuperSecureHuman/rag_hyde_chat
Chat with Lex! A RAG app, using HyDE with milvus DB for vector store, VLLM for LLM inference, and FastEmbed for Embeddings!
This project helps you build a custom chat application to intelligently answer questions based on your specific documents or data. You feed it a dataset (like a CSV or collection of JSON files), and it lets you chat with it, providing answers and showing you exactly where the information came from. This is for professionals like researchers, content managers, or anyone who needs a smart Q&A system for their unique knowledge base.
No commits in the last 6 months.
Use this if you need to create a secure, self-hosted chatbot that can accurately answer questions by retrieving information directly from your own documents and data.
Not ideal if you're looking for an out-of-the-box, pre-trained general-purpose chatbot or if you prefer a cloud-managed service.
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8
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Language
Python
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Last pushed
Jun 04, 2024
Commits (30d)
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