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Co-authored-by: Maxime Grenu <69890511+cluster2600@users.noreply.github.com> Co-authored-by: Claude <claude@anthropic.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: jmaillefaud <jonathan.maillefaud@evooq.ch> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: tanwirahmad <tanwirahmad@users.noreply.github.com> Co-authored-by: Christophe Bornet <cbornet@hotmail.com> Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: niceg <79145285+growmuye@users.noreply.github.com> Co-authored-by: Chaitanya varma <varmac301@gmail.com> Co-authored-by: dishaprakash <57954147+dishaprakash@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Kanav Bansal <13186335+bansalkanav@users.noreply.github.com> Co-authored-by: Aleksandr Filippov <71711753+alex-feel@users.noreply.github.com> Co-authored-by: Alex Feel <afilippov@spotware.com> |
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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",
)