qdrant-haystack 0.0.3

An integration of Qdrant ANN vector database backend with Haystack

qdrant-haystack

An integration of Qdrant vector database with Haystack by deepset.

The library finally allows using Qdrant as a document store, and provides an in-place replacement for any other vector embeddings store. Thus, you should expect any kind of application to be working smoothly just by changing the provider to QdrantDocumentStore.

Installation

qdrant-haystack might be installed as any other Python library, using pip or poetry:

pip install qdrant-haystack

poetry add qdrant-haystack

Usage

Once installed, you can already start using QdrantDocumentStore as any other store that supports embeddings.

from qdrant_haystack import QdrantDocumentStore

document_store = QdrantDocumentStore(
    host="localhost",
    index="Document",
    embedding_dim=512,
    recreate_index=True,
)

The list of parameters accepted by QdrantDocumentStore is complementary to those used in the official Python Qdrant client.