Basic Information

• Used with the following retrievers:
  • QdrantEmbeddingRetriever
  • QdrantSparseEmbeddingRetriever
  • QdrantHybridRetriever
• Type: haystack_integrations.document_stores.qdrant.document_store.QdrantDocumentStore

ℹ️

You must host the Qdrant database locally to make it work with deepset Cloud. For instructions, see Qdrant documentation.

Overview

For details, see QdrantDocumentStore in Haystack documentation.

Authorization

To use an API key for your Qdrant database, create a secret for it and then pass it its name in the api_key parameter of the document store. To learn more about secrets, see Add Secrets to Connect to Third Party Providers.

Usage

For instructions on how to create a secret to connect to the document store, write documents, and then retrieve them, see Connect to external database.

Example Configuration

In an Indexing Pipeline

To write the preprocesses files into the document store:

1. Add DocumentWriter to your pipeline.
2. On the component card, click Configure under the document_store parameters. This opens a YAML editor.

In a Query Pipeline

To retrieve files from the document store:

1. Add a Qdrant retriever to your pipeline.
2. On the retriever's card, click Configure under the document_store parameter. This opens a YAML editor.

Example

This is where you can access the configuration:

This is an example YAML configuration:

type: haystack_integrations.document_stores.qdrant.document_store.QdrantDocumentStore
init_parameters:
  url: "b90c-217-111-20-34.ngrok-free.app"
  port: 443
  https: true

Init Parameters

To check the parameters you can customize for this document store, see QdrantDocumentStore API reference in Haystack documentation.