Embeddings and reranking

Vectors for semantic search and reranking for RAG

Embedding APIs turn text, code or images into vectors, so your own search finds results by meaning instead of exact words; reranking APIs sort a list of search results by how well each one answers a question. Together they are the retrieval part of retrieval-augmented generation (RAG). Check the free token allowance and whether your vectors stay compatible when a model is updated.

Questions

Are these embedding and reranking APIs really free?

The services here can be used without paying, at least on a free plan or free tier, often with limits such as a number of requests per day or non-commercial use only. The table above quotes what each service says about its free use; check the provider's own terms before you rely on it.

How up to date is this list?

The address of every service is checked about once a week, and services that stop working or stop being free are removed. This list last changed on November 1st, 2026.