Angular2Guy/AIDocumentLibraryChat
A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.
This project helps you get accurate answers to questions about your own documents, images, or data. You upload documents, images, or provide access to your database, ask questions in plain language, and receive AI-generated answers grounded in your specific content, complete with source links. Anyone who needs to quickly find information within their own extensive knowledge base, such as researchers, legal professionals, or content managers, would find this useful.
Use this if you need an AI to answer questions reliably from your specific collection of internal documents, images, or a relational database, minimizing AI 'hallucinations'.
Not ideal if you're looking for a general-purpose AI chatbot without needing to reference your private data, or if you require advanced natural language generation beyond summarization and question-answering.
Stars
32
Forks
14
Language
Java
License
Apache-2.0
Category
Last pushed
Dec 28, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/Angular2Guy/AIDocumentLibraryChat"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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