langchain/libs/partners/qdrant
Isaac Francisco a72fddbf8d
[docs]: vector store integration pages (#24858)
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-08-06 17:20:27 +00:00
..
langchain_qdrant [docs]: vector store integration pages (#24858) 2024-08-06 17:20:27 +00:00
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 qdrant: init package (#21146) 2024-05-13 18:20:03 -07:00
LICENSE qdrant: init package (#21146) 2024-05-13 18:20:03 -07:00
Makefile qdrant: New sparse embeddings provider interface - PART 1 (#24015) 2024-07-11 17:07:25 -07:00
poetry.lock qdrant: new Qdrant implementation (#24164) 2024-07-12 04:52:02 +02:00
pyproject.toml qdrant: Fix vectors_config access (#24606) 2024-07-24 10:54:33 -04:00
README.md qdrant: init package (#21146) 2024-05-13 18:20:03 -07:00

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",
)