mirror of https://github.com/hwchase17/langchain synced 2024-11-11 19:11:02 +00:00

History

ccurme 0592c29e9b qdrant[patch]: release 0.1.4 (#26534 ) `langchain-qdrant` imports pydantic but was importing pydantic proper before 0.3 release: `042e84170b/libs/partners/qdrant/langchain_qdrant/sparse_embeddings.py (L5-L8)`		2024-09-16 13:04:12 -04:00
..
langchain_qdrant	partners: Use simsimd types (#25299 )	2024-08-23 10:41:39 -04:00
scripts	multiple: pydantic 2 compatibility, v0.3 (#26443 )	2024-09-13 14:38:45 -07:00
tests	qdrant: test new QdrantVectorStore (#24165 )	2024-07-12 23:59:30 +00:00
.gitignore
LICENSE
Makefile	standard-tests[patch]: add Ser/Des test	2024-09-04 10:24:06 -07:00
poetry.lock	qdrant[patch]: release 0.1.4 (#26534 )	2024-09-16 13:04:12 -04:00
pyproject.toml	qdrant[patch]: release 0.1.4 (#26534 )	2024-09-16 13:04:12 -04:00
README.md

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",
)