benayat/rag-with-spring-ai
a rag implementation example for document-based QA, using spring-ai, ollama, and postgres-pgvector vetor db.
This system helps you create a reliable question-answering bot that provides answers based on your specific documents, rather than making things up. You feed it your documents, and it allows users to ask questions and get accurate answers drawn directly from that content. It's ideal for anyone who needs to quickly find information within a large collection of internal documents or specialized knowledge bases.
No commits in the last 6 months.
Use this if you need a dependable way for users to get answers from a defined set of documents without the AI making up information.
Not ideal if you're looking for a general-purpose chatbot that generates creative content or answers questions outside of your specific document collection.
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Java
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Last pushed
May 09, 2024
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