cognee-community-vector-adapter-qdrant 0.2.0

Qdrant vector database adapter for cognee

Cognee Qdrant Adapter

Installation

If published, the package can be simply installed via pip:

pip install cognee-community-vector-adapter-qdrant

In case it is not published yet, you can use poetry to locally build the adapter package:

pip install poetry
poetry install # run this command in the directory containing the pyproject.toml file

Connection Setup

For a quick local setup, you can run a docker container that qdrant provides (https://qdrant.tech/documentation/quickstart/). After this, you will be able to connect to the Qdrant DB through the appropriate ports. The command for running the docker container looks something like the following:

docker run -p 6333:6333 -p 6334:6334 \
    -v "$(pwd)/qdrant_storage:/qdrant/storage:z" \
    qdrant/qdrant

Usage

Import and register the adapter in your code:

from cognee_community_vector_adapter_qdrant import register

Also, specify the dataset handler in the .env file:

VECTOR_DATASET_DATABASE_HANDLER="qdrant"

Example

See example in example.py file.