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Follow up to https://github.com/langchain-ai/langsmith-sdk/pull/1696, I've bumped the `langsmith` version where applicable in `uv.lock`. Type checking problems here because deps have been updated in `pyproject.toml` and `uv lock` hasn't been run - we should enforce that in the future - goes with the other dependabot todos :). |
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langchain_qdrant | ||
scripts | ||
tests | ||
.gitignore | ||
LICENSE | ||
Makefile | ||
pyproject.toml | ||
README.md | ||
uv.lock |
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",
)