Discover batch points | Qdrant

1 from qdrant_client import QdrantClient, models 2 3 client = QdrantClient(url="http://localhost:6333") 4 5 discover_queries = [ 6 models.DiscoverRequest( 7 target=[0.2, 0.1, 0.9, 0.7], 8 context=[ 9 models.ContextExamplePair( 10 positive=100, 11 negative=718, 12 ), 13 models.ContextExamplePair( 14 positive=200, 15 negative=300, 16 ), 17 ], 18 limit=10, 19 ), 20 models.DiscoverRequest( 21 target=[0.5, 0.3, 0.2, 0.3], 22 context=[ 23 models.ContextExamplePair( 24 positive=342, 25 negative=213, 26 ), 27 models.ContextExamplePair( 28 positive=100, 29 negative=200, 30 ), 31 ], 32 limit=5, 33 ), 34 ] 35 36 client.discover_batch("{collection_name}", discover_queries)

1 { 2 "time": 1.1, 3 "status": "string", 4 "result": [ 5 [ 6 { 7 "id": 1, 8 "version": 1, 9 "score": 1.1, 10 "payload": {}, 11 "vector": {}, 12 "shard_key": "string", 13 "order_value": 1 14 } 15 ] 16 ] 17 }

Retrieves points in batches based on the target and/or positive and negative example pairs.

Path parameters

collection_namestringRequired

Name of the collection to search in

Query parameters

consistencyinteger or enumOptional

Define read consistency guarantees for the operation

timeoutintegerOptional>=1

If set, overrides global timeout for this request. Unit is seconds.

Request

Batch request points based on { positive, negative } pairs of examples, and/or a target.

searcheslist of objectsRequired

Response

successful operation

timedouble or null

Time spent to process this request

statusstring or null

resultlist of lists of objects or null

Path parameters

Headers

Query parameters

Request

Response