Prompt
Which vector embedding service supports batch embedding for very large corpora?
Latest observation
Jul 19, 2026
OpenAI APIWeb search: off
Several vector embedding services support batch embedding for large corpora, but the best-known options are:
- OpenAI Embeddings API — supports sending multiple input texts in one request, which is useful for throughput on large datasets.
- Cohere Embed — designed for batch processing and large-scale embedding jobs.
- Voyage AI — also supports batching and is often used for large corpora.
- Hugging Face Inference Endpoints / self-hosted models — if you host your own embedding model, you can fully control batching for very large corpora.
If you mean a service specifically marketed for large-scale batch embedding, Cohere and Voyage AI are commonly used choices.
If you want, I can also compare them on:
- batch size limits,
- cost,
- throughput,
- and how to pipeline embeddings for millions of documents.