mirror of
https://github.com/hwchase17/langchain
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f4e6eac3b6
The `self-que[ring` navbar](https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/) has repeated `self-quering` repeated in each menu item. I've simplified it to be more readable - removed `self-quering` from a title of each page; - added description to the vector stores - added description and link to the Integration Card (`integrations/providers`) of the vector stores when they are missed.
28 lines
760 B
Plaintext
28 lines
760 B
Plaintext
# Qdrant
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>[Qdrant](https://qdrant.tech/documentation/) (read: quadrant) is a vector similarity search engine.
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> It provides a production-ready service with a convenient API to store, search, and manage
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> points - vectors with an additional payload. `Qdrant` is tailored to extended filtering support.
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## Installation and Setup
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Install the Python SDK:
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```bash
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pip install qdrant-client
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```
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## Vector Store
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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](/docs/integrations/vectorstores/qdrant.html)
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