Qdrant integrations

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 partner package:

pip install langchain-qdrant

uv add langchain-qdrant

Embedding models

FastEmbedSparse

from langchain_qdrant import FastEmbedSparse

SparseEmbeddings

from langchain_qdrant import SparseEmbeddings

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_qdrant import QdrantVectorStore

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