GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Angular2Guy%2FAIDocumentLibraryChat
Stars: 30
Forks: 12
Open issues: 0
License: apache-2.0
Language: Java
Size: 4.35 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 18 days ago
Pushed at: 18 days ago
Last synced at: 18 days ago
Topics: ai, angular, angular-material, chatgpt, deepseek-coder, embeddings, gradle, java, liquibase, llava, llm, mixtral-8x7b, ollama, pgvector, postgresql, spring-ai, spring-boot, sqlcoder, typescript, vector-database