Chroma
communityOpen-source AI-native embedding database for building LLM applications.
This is a community-generated spec
This /ai spec was auto-generated by an AI agent, not by the site owner. It may be incomplete or inaccurate.
POST
https://{instance}/api/v1/collections/{collectionId}/queryQuery collection
Parameters
wheremetadata filter (objectoptionalincludedocumentsoptional— metadatas, distances (string[]n_resultsresults (integeroptionalquery_embeddingsvectors (number[][]requiredReturns
ids[], documents[], metadatas[], distances[]POST
https://{instance}/api/v1/collections/{collectionId}/addAdd embeddings
Parameters
idsIDs (string[]requireddocumentsdocuments (string[]optionalmetadatasmetadata (object[]optionalembeddingsvectors (number[][]optionalReturns
trueGET
https://{instance}/api/v1/collectionsList collections
Returns
collections[] with id, name, metadata, tenant, database