Airbyte, creator of the leading open-source data movement infrastructure, is releasing its Snowflake Cortex destination, a new data connector for Snowflake users who are interested in building generative AI (GenAI) capabilities directly within their existing Snowflake accounts.
With no coding required, users can create a dedicated vector store within Snowflake (compatible with OpenAI) and load data from more than 300 sources, according to Airbyte.
"We are removing barriers to AI integration and making it easier than ever for businesses to harness the potential of Generative AI within their existing data infrastructure," said Michel Tricot, co-founder and CEO, Airbyte. “We’re removing the complexity and time investment typically associated with setting up AI infrastructure.”
The Snowflake Cortex destination empowers users to create an Airbyte pipeline in minutes. By simplifying the process of building and maintaining a vector store within Snowflake, Airbyte is enabling organizations to unlock new insights and drive transformative outcomes, according to the company.
Key features of the new Snowflake Cortex destination include the following.
- No coding required: Users can easily set up and manage their vector store directly within Snowflake, eliminating the need for specialized programming skills.
- Rapid deployment: Create a new Airbyte pipeline in just a few minutes, enabling quick and efficient data loading and processing.
- Automatic incremental processing: The Airbyte protocol handles incremental processing automatically, ensuring that data is always up-to-date without manual intervention.
Airbyte makes moving data easy and affordable across almost any source and destination, helping enterprises provide their users with access to the right data for analysis and decision-making.
Airbyte has one of the largest data engineering contributor communities—with more than 800 contributors—and tooling to build and maintain connectors.
For more information about this news, visit www.airbyte.com.