Qdrant

This page covers how to use the Qdrant ecosystem within LangChain. It is broken into two parts: installation and setup, and then references to specific Qdrant wrappers.

Installation and Setup

Install the Python SDK with pip install qdrant-client

Wrappers

VectorStore

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.vectorstores import Qdrant

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