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RAG-Knowledge-Engine

RAG-Knowledge-Engine

Open source MIT
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About RAG-Knowledge-Engine

Advanced RAG (Retrieval-Augmented Generation) system for private document intelligence. Uses OpenAI GPT-4o and Vector Databases to provide zero-hallucination chat insights.

Platforms

Web Self-hosted

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RAG Knowledge Engine 📚

AI is great, but it often makes things up (hallucinations). I built this "Knowledge Engine" to make AI more reliable by grounding it in real documents.

How it works:

You can upload PDFs or text files, and the system "reads" them. When you ask a question, the AI searches your documents first to find the exact answer, rather than guessing.

The Tech:

  • LLM: OpenAI GPT-4o.
  • Framework: LangChain for the AI logic.
  • Storage: ChromaDB (Vector Store) to keep track of document text.

This is a great tool for anyone who needs to search through large documents quickly and accurately.