landing_page/qdrant-landing/content/documentation/data-management/fluvio.md

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InfinyOn Fluvio

InfinyOn Fluvio is an open-source platform written in Rust for high speed, real-time data processing. It is cloud native, designed to work with any infrastructure type, from bare metal hardware to containerized platforms.

Usage with Qdrant

With the Qdrant Fluvio Connector, you can stream records from Fluvio topics to Qdrant collections, leveraging Fluvio's delivery guarantees and high-throughput.

Pre-requisites

• A Fluvio installation. You can refer to the Fluvio Quickstart for instructions.
• Qdrant server to connect to. You can set up a local instance or a free cloud instance at cloud.qdrant.io.

Downloading the connector

Run the following commands after setting up Fluvio.

cdk hub download qdrant/qdrant-sink@0.1.0

Example Config

config.yaml

apiVersion: 0.1.0
meta:
  version: 0.1.0
  name: my-qdrant-connector
  type: qdrant-sink
  topic: topic-name
  secrets:
    - name: QDRANT_API_KEY

qdrant:
  url: https://xyz-example.eu-central.aws.cloud.qdrant.io:6334
  api_key: "${{ secrets.QDRANT_API_KEY }}"

secrets.txt

QDRANT_API_KEY=<SOME_API_KEY>

Running

cdk deploy start --ipkg qdrant-qdrant-sink-0.1.0.ipkg -c config.yaml --secrets secrets.txt

Produce Messages

You can now run the following to generate messages to be written into Qdrant.

fluvio produce topic-name

Message Formats

This sink connector supports messages with dense/sparse/multi vectors.

Click each to expand.

Unnamed/Default vector

Reference: Creating a collection with a default vector.

{
    "collection_name": "{collection_name}",
    "id": 1,
    "vectors": [
        0.1,
        0.2,
        0.3,
        0.4,
        0.5,
        0.6,
        0.7,
        0.8
    ],
    "payload": {
        "name": "fluvio",
        "description": "Solution for distributed stream processing",
        "url": "https://www.fluvio.io/"
    }
}

Named multiple vectors

Reference: Creating a collection with multiple vectors.

{
    "collection_name": "{collection_name}",
    "id": 1,
    "vectors": {
        "some-dense": [
            0.1,
            0.2,
            0.3,
            0.4,
            0.5,
            0.6,
            0.7,
            0.8
        ],
        "some-other-dense": [
            0.1,
            0.2,
            0.3,
            0.4,
            0.5,
            0.6,
            0.7,
            0.8
        ]
    },
    "payload": {
        "name": "fluvio",
        "description": "Solution for distributed stream processing",
        "url": "https://www.fluvio.io/"
    }
}

Sparse vectors

Reference: Creating a collection with sparse vectors.

{
    "collection_name": "{collection_name}",
    "id": 1,
    "vectors": {
        "some-sparse": {
            "indices": [
                0,
                1,
                2,
                3,
                4,
                5,
                6,
                7,
                8,
                9
            ],
            "values": [
                0.1,
                0.2,
                0.3,
                0.4,
                0.5,
                0.6,
                0.7,
                0.8,
                0.9,
                1.0
            ]
        }
    },
    "payload": {
        "name": "fluvio",
        "description": "Solution for distributed stream processing",
        "url": "https://www.fluvio.io/"
    }
}

Multi-vector

{
    "collection_name": "{collection_name}",
    "id": 1,
    "vectors": {
        "some-multi": [
            [
                0.1,
                0.2,
                0.3,
                0.4,
                0.5,
                0.6,
                0.7,
                0.8,
                0.9,
                1.0
            ],
            [
                1.0,
                0.9,
                0.8,
                0.5,
                0.4,
                0.8,
                0.6,
                0.4,
                0.2,
                0.1
            ]
        ]
    },
    "payload": {
        "name": "fluvio",
        "description": "Solution for distributed stream processing",
        "url": "https://www.fluvio.io/"
    }
}

Combination of named dense and sparse vectors

Reference:

• Creating a collection with multiple vectors.

• Creating a collection with sparse vectors.

{
    "collection_name": "{collection_name}",
    "id": "a10435b5-2a58-427a-a3a0-a5d845b147b7",
    "vectors": {
        "some-other-dense": [
            0.1,
            0.2,
            0.3,
            0.4,
            0.5,
            0.6,
            0.7,
            0.8
        ],
        "some-sparse": {
            "indices": [
                0,
                1,
                2,
                3,
                4,
                5,
                6,
                7,
                8,
                9
            ],
            "values": [
                0.1,
                0.2,
                0.3,
                0.4,
                0.5,
                0.6,
                0.7,
                0.8,
                0.9,
                1.0
            ]
        }
    },
    "payload": {
        "name": "fluvio",
        "description": "Solution for distributed stream processing",
        "url": "https://www.fluvio.io/"
    }
}

Further Reading

• Fluvio Quickstart
• Fluvio Tutorials
• Connector Source