Tags: #embeddings

An open-source vector database simplifying the storage, indexing, and querying of embeddings for AI applications.

A high-performance, massive-scale vector database and search engine designed for next-generation AI applications.

MTEB is a comprehensive benchmark and evaluation framework designed to assess the performance of text embedding models and retrieval systems across a wide range of tasks.

A comprehensive toolkit for computing CLIP embeddings and building scalable semantic search and retrieval systems for multimodal data.