8 leading embedding models – including models that outperform OpenAI’s ada-002 and Cohere’s Embed-v3 in MTEB and LoCo Benchmarks.
Fully compatible with OpenAI API.
4x lower cost.
Integrated with MongoDB, LangChain, and LlamaIndex for RAG.
New "M2-Bert-Retrieval" models with up to 32k context length
