Inspect Qdrant Cloud collections, query dense vectors with payload filters, and insert or replace supplied vector points. Ask your connected AI assistant to explain the results or carry out the specified operation.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Query an existing dense-vector collection and inspect returned payloads.
/oo Qdrant Cloud: Query Qdrant collection [collection] with vector [vector], payload filter [filter], limit [limit], and withPayload true. Summarize returned matches.
Upsert supplied IDs, vectors, and payloads into a selected collection.
/oo Qdrant Cloud: Upsert these Qdrant points [points] into collection [collection name], then retrieve point [ID] to inspect the stored result.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Provide an official Qdrant Cloud cluster HTTPS URL and database API key.
Connect Qdrant Cloud →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Qdrant Cloud connects supported service operations to your AI assistant. Inspect Qdrant Cloud collections, query dense vectors with payload filters, and insert or replace supplied vector points.
Read collection configuration or create an unnamed dense-vector collection.
Upsert, retrieve, query, or scroll dense-vector points.
List the Qdrant collections visible to the authenticated API key.
Leina 
Wanta 
qdrant.list_collections Retrieve configuration and status information for one Qdrant collection.
qdrant.get_collection Create a Qdrant Cloud collection with one unnamed dense vector configuration.
qdrant.create_collection Insert or replace dense-vector points in a Qdrant collection and wait for the write to commit.
qdrant.upsert_points Retrieve one point by numeric ID or UUID from a Qdrant collection.
qdrant.get_point Search a dense-vector Qdrant collection with an optional payload filter.
qdrant.query_points Read one page of points from a Qdrant collection with an optional payload filter.
qdrant.scroll_points No matching tools.
No. Supply dense vectors generated by an embedding model or another workflow.
This provider accepts official Qdrant Cloud endpoints only.
Yes. Upsert inserts or replaces supplied point IDs and waits for the write to commit.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.