Qdrant-client

Latest version: v1.13.3

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1.3.2

Not secure
Changelog
---
Features
- Pydantic v2 support 214 224
- Forbid extra fields in pydantic models 222
---
Bug fixes
- Local mode cosine normalization 213
- Handle `Dict[str, np.ndarray]` in uploading collection in local mode 183
- Fix grpc.insecure_connection arguments 216
- Add missing init_from param in recreate_collection 205

1.2.0

Not secure
Change log

Features

* Support for Qdrant v1.2.0 features:
* Nested filters
* group-by
* Optional vectors
* On-disk vecors

Bug fixes

* https://github.com/qdrant/qdrant-client/issues/175

1.1.2

Not secure
+ Minor fix for ids in local mode

1.1.1

Not secure
Local Mode

Introduce a new way to run Qdrant from python, no server required!

![try-develop-deploy](https://user-images.githubusercontent.com/1935623/228976367-e9198649-8013-45d5-9743-c6de32ff37fe.png)


Python client allows you to run same code in local mode without running Qdrant server.

Simply initialize client like this:

python
from qdrant_client import QdrantClient

client = QdrantClient(":memory:")
or
client = QdrantClient(path="path/to/db") Persists changes to disk


Local mode is useful for development, prototyping and testing.

- You can use it to run tests in your CI/CD pipeline.
- Run it in Colab or Jupyter Notebook, no extra dependencies required. See an [example](https://colab.research.google.com/drive/1Bz8RSVHwnNDaNtDwotfPj0w7AYzsdXZ-?usp=sharing)
- When you need to scale, simply switch to server mode.

How it works?

We just implemented Qdrant API in pure Python.
We covered it with tests extensively to be sure it works the same as the server version.

1.1.0

Not secure
Support for Qdrant v1.1.0 features:

- Quantization
- Match Any condition

+ Minor improvements

1.0.2

Not secure
- support for Qdrant v1.0.x
- Minor fixes

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