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fix: replace search with query_points, remove min python requirement for pre-commit (#868)

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George
2024-12-27 14:29:58 +01:00
committed by George Panchuk
parent f46a7f86a1
commit f0e00c0c9f
1 changed files with 12 additions and 10 deletions
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README.md
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@@ -181,6 +181,7 @@ Insert vectors into a collection
```python
import numpy as np
from qdrant_client.models import PointStruct
vectors = np.random.rand(100, 100)
@@ -204,9 +205,9 @@ Search for similar vectors
```python
query_vector = np.random.rand(100)
hits = client.search(
hits = client.query_points(
collection_name="my_collection",
query_vector=query_vector,
query=query_vector,
limit=5 # Return 5 closest points
)
```
@@ -216,9 +217,9 @@ Search for similar vectors with filtering condition
```python
from qdrant_client.models import Filter, FieldCondition, Range
hits = client.search(
hits = client.query_points(
collection_name="my_collection",
query_vector=query_vector,
query=query_vector,
query_filter=Filter(
must=[ # These conditions are required for search results
FieldCondition(
@@ -253,10 +254,13 @@ Starting from version 1.6.1, all python client methods are available in async ve
To use it, just import `AsyncQdrantClient` instead of `QdrantClient`:
```python
from qdrant_client import AsyncQdrantClient, models
import numpy as np
import asyncio
import numpy as np
from qdrant_client import AsyncQdrantClient, models
async def main():
# Your async code using QdrantClient might be put here
client = AsyncQdrantClient(url="http://localhost:6333")
@@ -277,9 +281,9 @@ async def main():
],
)
res = await client.search(
res = await client.query_points(
collection_name="my_collection",
query_vector=np.random.rand(10).tolist(), # type: ignore
query=np.random.rand(10).tolist(), # type: ignore
limit=10,
)
@@ -296,5 +300,3 @@ More examples can be found [here](./tests/test_async_qdrant_client.py).
This project uses git hooks to run code formatters.
Install `pre-commit` with `pip3 install pre-commit` and set up hooks with `pre-commit install`.
> pre-commit requires python>=3.8