Feature

Embeddings & Vector Support

Vector embeddings and similarity search.

19 providers 78 APIs 18 declared variants

The API produces embeddings or stores and searches vectors for semantic retrieval. The backbone of RAG and recommendation pipelines.

19 API providers on the APIs.io network offer embeddings & vector support. The highest-rated are Cloudflare, NVIDIA NIM, AIMLAPI, YugabyteDB, Azure Databricks.

Providers

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Exemplar 2 Complete, well-documented, and agent-ready
Strong 8 Solid coverage with minor gaps
Developing 7 Usable, with meaningful gaps to close
Thin 2 Limited public surface area

What Providers Actually Declared

This feature is a canonical term. These are the free-text strings providers wrote in their own apis.yml that map onto it.

Built-in modules for OpenAI, Cohere, HuggingFace embeddingsCloud Inference for embeddings (selected models free)EmbeddingsInference API for embeddings + rerankingLargest community catalog of Stable Diffusion, SDXL, and Flux checkpoints, LoRAs, embeddings, and VAEsManaged Vector DatabasesMarqo-FashionCLIP and marqo-ecommerce-embeddings open-weight modelsNeMo Retriever NIMs for embeddings, reranking, OCR, and PDF-to-Markdown extraction in RAG pipelinesVector IndexingVector Similarity Search (Dense, Sparse, Hybrid)Vector embeddings via pgvectorVector search for RAG and similarity searchVector similarity search (RediSearch)Vectorize vector database; Hyperdrive for connection poolingVision, multimodal, embeddings, and TTS (Resemble, Orpheus) model surfacesWordPress, CKEditor, phpBB, NodeBB, and Vanilla Forums content plugins for embedding models in CMS and forum platformsdwave-inspector — interactive problem inspector for visualizing embeddings and chainspgvector for embeddings

Scroll for all 18

Work with this as data

Every feature here is available over the APIs.io API and to AI agents over MCP. Features is not yet its own endpoint on the v1 API. Reach it through catalog search and the tag graph, or the MCP server.

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Tools for features

3 MCP tools reach this
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

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curl "https://apis.io/api/v1/search?q=embeddings&limit=10"
Everything under a tag
curl "https://apis.io/api/v1/tags/embeddings"

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