Platform Vector Store
A dedicated vector store the platform manages for you. Point an embed pipeline at it and search your content semantically. Zero setup.
A dedicated vector store the platform manages for you. Point an embed pipeline at it and search your content semantically. Zero setup.
What this connection offers
Use managed semantic-search storage without configuring an external vector database. Keep the embedding model and index compatible, and distinguish removal of vectors from deletion of original files.
| Detail | Value |
|---|---|
| Available uses | similarity index |
| Sign-in | Managed by Strive |
| Catalogue identifier | platform_vectorstore |
| Connection scope | tenant |
| Direction | destination |
Connect
- Open Connections, choose to connect a service, and select Platform Vector Store with the uses listed above.
- Give the connection a recognisable name.
- Complete creation; no external secret is required for this entry.
- Check the connection status and run a connection test where offered.
- Select this saved connection in the app, workflow step, storage browser, or Assistant task that needs it.
Connection settings
This connector declares no ordinary configuration fields. Its sign-in or managed provisioning flow supplies the access it needs.
Diagnose a failure
Check the connected account, its permission to the target, the selected folder, table or collection, and the connection’s current status. A successful sign-in is not proof that a particular resource is shared with that account. An empty search or folder page is not necessarily an authentication error. Revoke access when it is no longer needed; deleting the connection can also affect its tools and synced data. See connection lifecycle.