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langchain/libs/partners/qdrant
Anush 4585eaef1b
qdrant: Fix vectors_config access (#24606)
## Description

Fixes #24558 by accessing `vectors_config` after asserting it to be a
dict.
2 months ago
..
langchain_qdrant qdrant: Fix vectors_config access (#24606) 2 months ago
scripts qdrant: init package (#21146) 4 months ago
tests qdrant: test new QdrantVectorStore (#24165) 2 months ago
.gitignore qdrant: init package (#21146) 4 months ago
LICENSE qdrant: init package (#21146) 4 months ago
Makefile qdrant: New sparse embeddings provider interface - PART 1 (#24015) 2 months ago
README.md qdrant: init package (#21146) 4 months ago
poetry.lock qdrant: new Qdrant implementation (#24164) 2 months ago
pyproject.toml qdrant: Fix vectors_config access (#24606) 2 months ago

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",
)