Mixedbread Embeddings API
POST /v1/embeddings creates dense or multi-encoding embeddings for text and images using mxbai embedding models (mxbai-embed-large-v1, deepset-mxbai-embed-de-large-v1, mxbai-embed-xsmall-v1, Wholembed v3). Supports Matryoshka dimensions, binary/int8/float32 encodings, and prompt instructions. Returns Embedding objects with token usage.
Mixedbread Embeddings API is one of 12 APIs that Mixedbread publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 1 machine-runnable capability that can be deployed as REST, MCP, or Agent Skill surfaces via Naftiko and 1 JSON Schema definition.
Tagged areas include AI, Embeddings, Vectors, and Multimodal. The published artifact set on APIs.io includes API documentation, an OpenAPI specification, a JSON-LD context, 1 Naftiko capability spec, and 1 JSON Schema.