forked from Archives/langchain
21 lines
647 B
Markdown
21 lines
647 B
Markdown
# Qdrant
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This page covers how to use the Qdrant ecosystem within LangChain.
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It is broken into two parts: installation and setup, and then references to specific Qdrant wrappers.
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## Installation and Setup
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- Install the Python SDK with `pip install qdrant-client`
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## Wrappers
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### VectorStore
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There exists a wrapper around Qdrant indexes, allowing you to use it as a vectorstore,
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whether for semantic search or example selection.
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To import this vectorstore:
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```python
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from langchain.vectorstores import Qdrant
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```
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For a more detailed walkthrough of the Qdrant wrapper, see [this notebook](../modules/indexes/vectorstores/examples/qdrant.ipynb)
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