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Qdrant (read: quadrant) is a vector similarity search engine. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support.

Installation and Setup​

Install the Python SDK:

pip install qdrant-client

Vector Store​

There exists a wrapper around Qdrant indexes, allowing you to use it as a vectorstore, whether for semantic search or example selection.

To import this vectorstore:

from langchain_community.vectorstores import Qdrant

API Reference:

For a more detailed walkthrough of the Qdrant wrapper, see this notebook

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