landing_page/qdrant-landing/content/documentation/frameworks/mindsdb.md

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MindsDB	1100

MindsDB

MindsDB is an AI automation platform for building AI/ML powered features and applications. It works by connecting any source of data with any AI/ML model or framework and automating how real-time data flows between them.

With the MindsDB-Qdrant integration, you can now select Qdrant as a database to load into and retrieve from with semantic search and filtering.

MindsDB allows you to easily:

• Connect to any store of data or end-user application.
• Pass data to an AI model from any store of data or end-user application.
• Plug the output of an AI model into any store of data or end-user application.
• Fully automate these workflows to build AI-powered features and applications

Usage

To get started with Qdrant and MindsDB, the following syntax can be used.

CREATE DATABASE qdrant_test
WITH ENGINE = "qdrant",
PARAMETERS = {
    "location": ":memory:",
    "collection_config": {
        "size": 386,
        "distance": "Cosine"
    }
}

The available arguments for instantiating Qdrant can be found here.

Creating a new table

• Qdrant options for creating a collection can be specified as collection_config in the CREATE DATABASE parameters.
• By default, UUIDs are set as collection IDs. You can provide your own IDs under the id column.

CREATE TABLE qdrant_test.test_table (
   SELECT embeddings,'{"source": "bbc"}' as metadata FROM mysql_demo_db.test_embeddings
);

Querying the database

Perform a full retrieval using the following syntax.

SELECT * FROM qdrant_test.test_table

By default, the LIMIT is set to 10 and the OFFSET is set to 0.

Perform a similarity search using your embeddings

Qdrant supports payload indexing that vastly improves retrieval efficiency with filters and is highly recommended. Please note that this feature currently cannot be configured via MindsDB and must be set up separately if needed.

SELECT * FROM qdrant_test.test_table
WHERE search_vector = (select embeddings from mysql_demo_db.test_embeddings limit 1)

Perform a search using filters

SELECT * FROM qdrant_test.test_table
WHERE `metadata.source` = 'bbc';

Delete entries using IDs

DELETE FROM qtest.test_table_6
WHERE id = 2

Delete entries using filters

DELETE * FROM qdrant_test.test_table
WHERE `metadata.source` = 'bbc';

Drop a table

 DROP TABLE qdrant_test.test_table;

Next steps

You can find more information pertaining to MindsDB and its datasources here.