Embedding APIs

HexGrid exposes OpenAI-compatible Embedding APIs for hosted embedding models, letting you convert text into dense vector representations for search, retrieval, clustering, classification, and recommendation workflows.

Use these guides to generate embeddings for single inputs, batch documents, retrieval queries, long text, and model-specific vector dimensions.

Each model page includes copy-pasteable cURL examples, expected response shapes, and notes for using that embedding model through HexGrid’s vLLM engine.