Embedstore
Store and query vector embeddings for search and AI features.
Overview
Embedstore keeps vector embeddings next to your data and answers similarity queries over private networking. Index updates run as background jobs, so your API stays fast.
What you can do
- Similarity search over private networking
- Index updates as background jobs
- Collections per environment
Set up
- Add Embedstore in Integrations → Embedstore.
- Create a collection and choose the vector size.
- Read
EMBEDSTORE_URLfrom your environment.
Terminal
$ cloud integrations add embedstore --collection docs --dimensions 1536