mirror of
https://github.com/hwchase17/langchain
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edd68e4ad4
## Description This PR introduces the new `langchain-qdrant` partner package, intending to deprecate the community package. ## Changes - Moved the Qdrant vector store implementation `/libs/partners/qdrant` with integration tests. - The conditional imports of the client library are now regular with minor implementation improvements. - Added a deprecation warning to `langchain_community.vectorstores.qdrant.Qdrant`. - Replaced references/imports from `langchain_community` with either `langchain_core` or by moving the definitions to the `langchain_qdrant` package itself. - Updated the Qdrant vector store documentation to reflect the changes. ## Testing - `QDRANT_URL` and [`QDRANT_API_KEY`](583e36bf6b) env values need to be set to [run integration tests](d608c93d1f) in the [cloud](https://cloud.qdrant.tech). - If a Qdrant instance is running at `http://localhost:6333`, the integration tests will use it too. - By default, tests use an [`in-memory`](https://github.com/qdrant/qdrant-client?tab=readme-ov-file#local-mode) instance(Not comprehensive). --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Erick Friis <erickfriis@gmail.com>
26 lines
503 B
Markdown
26 lines
503 B
Markdown
# langchain-qdrant
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This package contains the LangChain integration with [Qdrant](https://qdrant.tech/).
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## Installation
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```bash
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pip install -U langchain-qdrant
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```
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## Usage
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The `Qdrant` class exposes the connection to the Qdrant vector store.
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```python
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from langchain_qdrant import Qdrant
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embeddings = ... # use a LangChain Embeddings class
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vectorstore = Qdrant.from_existing_collection(
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embeddings=embeddings,
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collection_name="<COLLECTION_NAME>",
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url="http://localhost:6333",
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)
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```
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