Vector database
Find the most similar points to a query vector (similarity search).
6 fields
Insert or overwrite points in a collection.
2 fields
Retrieve points by their IDs.
4 fields
Delete points by ID or by filter.
3 fields
Scroll through all points in a collection with optional filter and cursor-based pagination.
7 fields
Count points in a collection, with optional filter.
Find points similar to positive examples and dissimilar from negative examples.
9 fields
Upload a document file, chunk + embed it, and upsert the points.
5 fields
List all collections.
Get detailed info and stats for a single collection.
1 field
Create a new collection.
Update collection parameters (optimizers, HNSW, quantization).
Delete a collection and all its points permanently.
Set (merge) payload fields on points selected by IDs or filter.
Delete specific payload keys from points.
Remove all payload from points selected by IDs or filter.
Create a payload field index to speed up filtered searches.
Delete a payload field index.
Wire Qdrant into a coding agent and let it use these operations as tools.
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