Teams needing production grade embeddings, reranking, and multimodal search without managing their own retrieval infrastructure.

Mixedbread, also known as mxbai, is a hosted search and retrieval platform offering embeddings, reranking models, and multimodal search across text, PDFs, tables, images, and video.

Accessed via the platform.mixedbread.ai API, SDKs, dashboard, CLI, and MCP integration, with some models also published openly on Hugging Face.

Founded around 2023 and operating as an active commercial platform with releases through 2026.

Lets developers add high quality multilingual retrieval and reranking to applications without tuning embedding models or running vector infrastructure themselves.

Requires a mixedbread API key for the hosted platform, though its underlying mxbai embedding and rerank models are also available open weight for self hosting.

Hybrid model: some embedding and rerank models are released open weight on Hugging Face, but the primary platform is closed source commercial SaaS requiring an API key, with documents processed on mixedbread's servers.