Metadata-Version: 2.1
Name: langchain-qdrant
Version: 1.0.0a1
Summary: An integration package connecting Qdrant and LangChain
License: MIT
Project-URL: Source Code, https://github.com/langchain-ai/langchain/tree/master/libs/partners/qdrant
Project-URL: Release Notes, https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-qdrant%3D%3D0%22&expanded=true
Project-URL: repository, https://github.com/langchain-ai/langchain
Requires-Python: <4.0.0,>=3.10.0
Requires-Dist: qdrant-client<2.0.0,>=1.10.1
Requires-Dist: pydantic<3.0.0,>=2.7.4
Requires-Dist: langchain-core<2.0.0,>=1.0.0a6
Provides-Extra: fastembed
Requires-Dist: fastembed<1.0.0,>=0.3.3; python_version < "3.13" and python_version >= "3.9" and extra == "fastembed"
Description-Content-Type: text/markdown

# langchain-qdrant

This package contains the LangChain integration with [Qdrant](https://qdrant.tech/).

## Installation

```bash
pip install -U langchain-qdrant
```

## Usage

The `Qdrant` class exposes the connection to the Qdrant vector store.

```python
from langchain_qdrant import Qdrant

embeddings = ... # use a LangChain Embeddings class

vectorstore = Qdrant.from_existing_collection(
    embeddings=embeddings,
    collection_name="<COLLECTION_NAME>",
    url="http://localhost:6333",
)
```
