Recommend batch points | Qdrant

1 from qdrant_client import QdrantClient, models 2 3 client = QdrantClient(url="http://localhost:6333") 4 5 recommend_queries = [ 6 models.RecommendRequest( 7 positive=[100, 231], negative=[718], filter=filter_, limit=3 8 ), 9 models.RecommendRequest(positive=[200, 67], negative=[300], limit=3), 10 ] 11 12 client.recommend_batch(collection_name="{collection_name}", requests=recommend_queries)

1 { 2 "usage": { 3 "cpu": 1, 4 "payload_io_read": 1, 5 "payload_io_write": 1, 6 "payload_index_io_read": 1, 7 "payload_index_io_write": 1, 8 "vector_io_read": 1, 9 "vector_io_write": 1 10 }, 11 "time": 0.002, 12 "status": "ok", 13 "result": [ 14 [ 15 { 16 "id": 42, 17 "version": 3, 18 "score": 0.75, 19 "payload": { 20 "city": "London", 21 "color": "green" 22 }, 23 "vector": [ 24 0.875, 25 0.140625, 26 0.897599995136261 27 ], 28 "shard_key": "region_1", 29 "order_value": 42 30 } 31 ] 32 ] 33 }

Retrieves points in batches that are closer to stored positive examples and further from negative examples.

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