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docs: Query API snippets with Python (#1095)

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Co-authored-by: generall <andrey@vasnetsov.com>
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Anush
2024-08-23 22:48:27 +05:30
committed by GitHub
co-authored by generall
parent 4821e18664
commit e9fa9be0a4
17 changed files with 203 additions and 195 deletions
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qdrant-landing/content/documentation/concepts/explore.md
+68 -39
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@@ -43,11 +43,15 @@ from qdrant_client import QdrantClient, models
client = QdrantClient(url="http://localhost:6333")
client.recommend(
client.query_points(
collection_name="{collection_name}",
positive=[100, 231],
negative=[718, [0.2, 0.3, 0.4, 0.5]],
strategy=models.RecommendStrategy.AVERAGE_VECTOR,
query=models.RecommendQuery(
recommend=models.RecommendInput(
positive=[100, 231],
negative=[718, [0.2, 0.3, 0.4, 0.5]],
strategy=models.RecommendStrategy.AVERAGE_VECTOR,
)
),
query_filter=models.Filter(
must=[
models.FieldCondition(
@@ -245,10 +249,14 @@ POST /collections/{collection_name}/points/query
```
```python
client.recommend(
client.query_points(
collection_name="{collection_name}",
positive=[100, 231],
negative=[718],
query=models.RecommendQuery(
recommend=models.RecommendInput(
positive=[100, 231],
negative=[718],
)
),
using="image",
limit=10,
)
@@ -350,15 +358,18 @@ POST /collections/{collection_name}/points/query
```
```python
client.recommend(
client.query_points(
collection_name="{collection_name}",
positive=[100, 231],
negative=[718],
query=models.RecommendQuery(
recommend=models.RecommendInput(
positive=[100, 231],
negative=[718],
)
),
using="image",
limit=10,
lookup_from=models.LookupLocation(
collection="{external_collection_name}",
vector="{external_vector_name}"
collection="{external_collection_name}", vector="{external_vector_name}"
),
)
```
@@ -520,13 +531,25 @@ filter_ = models.Filter(
)
recommend_queries = [
models.RecommendRequest(
positive=[100, 231], negative=[718], filter=filter_, limit=3
models.QueryRequest(
query=models.RecommendQuery(
recommend=models.RecommendInput(positive=[100, 231], negative=[718])
),
filter=filter_,
limit=3,
),
models.QueryRequest(
query=models.RecommendQuery(
recommend=models.RecommendInput(positive=[200, 67], negative=[300])
),
filter=filter_,
limit=3,
),
models.RecommendRequest(positive=[200, 67], negative=[300], filter=filter_, limit=3),
]
client.recommend_batch(collection_name="{collection_name}", requests=recommend_queries)
client.query_batch_points(
collection_name="{collection_name}", requests=recommend_queries
)
```
```typescript
@@ -776,18 +799,22 @@ from qdrant_client import QdrantClient, models
client = QdrantClient(url="http://localhost:6333")
discover_queries = [
models.DiscoverRequest(
target=[0.2, 0.1, 0.9, 0.7],
context=[
models.ContextExamplePair(
positive=100,
negative=718,
),
models.ContextExamplePair(
positive=200,
negative=300,
),
],
models.QueryRequest(
query=models.DiscoverQuery(
discover=models.DiscoverInput(
target=[0.2, 0.1, 0.9, 0.7],
context=[
models.ContextPair(
positive=100,
negative=718,
),
models.ContextPair(
positive=200,
negative=300,
),
],
)
),
limit=10,
),
]
@@ -948,17 +975,19 @@ from qdrant_client import QdrantClient, models
client = QdrantClient(url="http://localhost:6333")
discover_queries = [
models.DiscoverRequest(
context=[
models.ContextExamplePair(
positive=100,
negative=718,
),
models.ContextExamplePair(
positive=200,
negative=300,
),
],
models.QueryRequest(
query=models.ContextQuery(
context=[
models.ContextPair(
positive=100,
negative=718,
),
models.ContextPair(
positive=200,
negative=300,
),
],
),
limit=10,
),
]