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AIDocumentLibraryChat

A project to show howto use SpringAI with Ollama 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.
Angular2Guy
Angular2Guy
Maintainer
31 stars
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AIDocumentLibraryChat repository preview
About this project
A project to show howto use SpringAI with Ollama 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. Maintained by Angular2Guy on GitHub, where it has earned 31 stars from the community.
It's actively developed around ai, angular, angular-material, and is a solid reference for anyone building with these tools.
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Install
npm install AIDocumentLibraryChat
Languages
Java64.325%
TypeScript22.586%
HTML5.825%
SCSS3.605%
ASL1.681%
Shell0.845%
Mustache0.504%
Last updated4 weeks ago
LicenseApache-2.0
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