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.
RepositoryStats indexes 628,836 repositories, of these Angular2Guy/AIDocumentLibraryChat is ranked #603,001 (4th percentile) for total stargazers, and #260,738 for total watchers. Github reports the primary language for this repository as Java, for repositories using this language it is ranked #28,697/29,374.
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382 commits on the default branch (master) since jan '22
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The primary language is Java but there's also others...
updated: 2025-03-10 @ 04:11am, id: 709981555 / R_kgDOKlF1cw