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Batch process all your records to store structured outputs in Qdrant.

The requirements are as follows.

  • For the Unstructured Platform, only Qdrant Cloud is supported.

  • For Unstructured Ingest, Qdrant Cloud, Qdrant local, and Qdrant client-server are supported.

  • For Qdrant local, the path to the local Qdrant installation, for example: /qdrant/local

  • For Qdrant client-server, the Qdrant server URL, for example: http://localhost:6333

  • For Qdrant Cloud:

    • A Qdrant account.

    • A Qdrant cluster.

    • The cluster’s URL. To get this URL, do the following:

      1. Sign in to your Qdrant Cloud account.
      2. On the sidebar, under Dashboard, click Clusters.
      3. Click the cluster’s name.
      4. Note the value of the Endpoint field, for example: https://<random-guid>.<region-id>.<cloud-provider>.cloud.qdrant.io.

    • A Qdrant API key.

  • The name of the target collection on the Qdrant local installation, Qdrant server, or Qdrant Cloud cluster.

    Qdrant requires the target collection to exist before Unstructured can write to the collection. The following example code demonstrates the use of the Python Qdrant Client to create a collection on a Qdrant Cloud cluster, configuring the collection for vectors with 3072 dimensions:

    Python
    from qdrant_client import QdrantClient, models
import os

client = QdrantClient(
    url=os.getenv("QDRANT_URL"),
    api_key=os.getenv("QDRANT_API_KEY")
)

client.create_collection(
    collection_name=os.getenv("QDRANT_COLLECTION"),
    vectors_config=models.VectorParams(
        size=3072,
        distance=models.Distance.COSINE
    )
)

collection = client.get_collection(
                 collection_name=os.getenv("QDRANT_COLLECTION")
             )

print(f"The collection named '{os.getenv("QDRANT_COLLECTION")}' exists and " +
      f"has a status of '{collection.status}'.")

The Qdrant connector dependencies.

pip install "unstructured-ingest[qdrant]"

You might also need to install additional dependencies, depending on your needs. Learn more.

The following environment variables:

  • QDRANT_COLLECTION - The name of the target collection on the Qdrant local installation, Qdrant server, or Qdrant Cloud cluster, represented by --collection-name (CLI) or collection_name (Python).

  • For Qdrant local, QDRANT_PATH - The path to the local Qdrant installation, represented by --path (CLI) or path (Python).

  • For Qdrant client-server, QDRANT_URL - The Qdrant server’s URL, represented by --url (CLI) or url (Python).

  • For Qdrant Cloud:

    • QDRANT_URL - The Qdrant cluster’s URL, represented by --url (CLI) or url (Python).
    • QDRANT_API_KEY - The Qdrant API key, represented by --api-key (CLI) or api_key (Python).

These environment variables:

  • UNSTRUCTURED_API_KEY - Your Unstructured API key value.
  • UNSTRUCTURED_API_URL - Your Unstructured API URL.

Now call the Unstructured CLI or Python SDK. The source connector can be any of the ones supported.

This example uses the local source connector:

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