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 584,353 repositories, of these Angular2Guy/AIDocumentLibraryChat is ranked #578,114 (1st percentile) for total stargazers, and #269,279 for total watchers. Github reports the primary language for this repository as Java, for repositories using this language it is ranked #28,078/28,264.
Angular2Guy/AIDocumentLibraryChat has 6 open pull requests on Github, 3 pull requests have been merged over the lifetime of the repository.
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347 commits on the default branch (master) since jan '22
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The primary language is Java but there's also others...
updated: 2024-11-20 @ 03:49pm, id: 709981555 / R_kgDOKlF1cw