Vector database
Similarity search by a query embedding vector.
6 fields
Full-text / semantic search using query text — Chroma embeds it server-side via an attached function.
Add records to a collection (fails if IDs already exist; use Upsert for insert-or-update).
5 fields
Upsert records — inserts new IDs and updates existing ones (idempotent sync).
Update existing records by ID (fails if an ID does not exist; use Upsert otherwise).
Get records by ID or filter.
7 fields
Count the number of records in a collection.
1 field
Delete records by ID, metadata filter, or document content filter.
4 fields
Upload a document file, chunk + embed it, and add the records.
List collections in the tenant/database.
2 fields
Get a collection's metadata and configuration by name.
Create a collection.
Rename a collection or replace its metadata.
3 fields
Permanently delete a collection and all its records.
Count the total number of collections in the database.
Get the indexing status of a collection (records indexed vs pending).
Fork (copy) an existing collection into a new one.
Get the number of times a collection has been forked.
Get a collection's metadata by its UUID.
Get a collection by its Cloud Resource Name (CRN).
Attach an embedding or processing function to a collection.
Get details about a function attached to a collection.
Add input data to an attached function (e.g. provide documents to embed).
Detach (remove) a function from a collection.
Get metadata about a tenant.
Create a new tenant.
Update a tenant's configuration.
List all databases in the tenant.
Create a new database in the tenant.
Get metadata about a database.
Delete a database and ALL its collections. DESTRUCTIVE.
Check whether the Chroma server is healthy.
Get the server heartbeat (nanosecond timestamp).
Get the Chroma server version string.
Reset the Chroma server. DESTRUCTIVE — wipes ALL data across all tenants and databases.
Get the identity of the currently authenticated user.
Wire Chroma into a coding agent and let it use these operations as tools.
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