Go module for fetching embeddings from embeddings providers
a vector embedding database with multiple storage engines and AI embedding integrations
Mind-X is my intelligent alter ego that understands me the best. It assists with and resolves my bothersome tasks, growing in real-time as a next-generation PersonAI system.
A semantic search system built with PostgreSQL and pgvector, powered by Gemini for generating text embeddings..
This project demonstrates how to integrate text embeddings using nomic-embed-text and granite-embedding models with PostgreSQL and pgvector. You can perform similarity searches, text analysis, and more.
go client for text-embedding-inference (https://github.com/huggingface/text-embeddings-inference)
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