text-embedding-3-large

An embedding function that utilizes the OpenAI API to compute vector embeddings, commonly used with vector databases.

A server that provides text embeddings, serving as a backend for embedding functions used with vector databases.

High-performance multilingual embedding model from Cohere supporting 100+ languages with 1024 dimensions, optimized for semantic search, RAG, and cross-lingual retrieval tasks.

State-of-the-art embedding model from Mistral AI that generates 1024-dimensional vectors for text, supporting semantic search, clustering, and retrieval-augmented generation applications.

OpenAI's improved embedding model with 1536 dimensions offering 5x price reduction compared to ada-002, supporting Matryoshka Representation Learning for flexible dimension sizing.

AI startup providing state-of-the-art embedding and reranking models through accessible APIs, offering both open-source and proprietary models optimized for various use cases.