langchain/libs/partners/qdrant
2024-08-23 10:41:39 -04:00
..
langchain_qdrant partners: Use simsimd types (#25299) 2024-08-23 10:41:39 -04:00
scripts patch[Partners] Unified fix of incorrect variable declarations in all check_imports (#25014) 2024-08-03 13:49:41 -04:00
tests qdrant: test new QdrantVectorStore (#24165) 2024-07-12 23:59:30 +00:00
.gitignore
LICENSE
Makefile
poetry.lock partners: Use simsimd types (#25299) 2024-08-23 10:41:39 -04:00
pyproject.toml partners: Use simsimd types (#25299) 2024-08-23 10:41:39 -04:00
README.md

langchain-qdrant

This package contains the LangChain integration with Qdrant.

Installation

pip install -U langchain-qdrant

Usage

The Qdrant class exposes the connection to the Qdrant vector store.

from langchain_qdrant import Qdrant

embeddings = ... # use a LangChain Embeddings class

vectorstore = Qdrant.from_existing_collection(
    embeddings=embeddings,
    collection_name="<COLLECTION_NAME>",
    url="http://localhost:6333",
)