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TitanML Dataiku Plugin: Major Update Brings Snowflake Integration and Enhanced AI Capabilities
August 6, 2024

TitanML Dataiku Plugin: Major Update Brings Snowflake Integration and Enhanced AI Capabilities

Rod Rivera
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The TitanML Dataiku Plugin has received a significant update, bringing powerful new features and improvements to enhance your data science and Generative AI workflows. This latest release focuses on expanding integration capabilities, improving AI functionalities, and streamlining the user experience. Let's dive into the key enhancements that make this update a game-changer for Dataiku users.

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Official Snowflake Integration: Deploy AI Where Your Data Lives

Run TitanML from Snowflake and easily connect it with Dataiku

One of the most exciting additions in this release is the official integration with Snowflake. This update brings a robust, fully-integrated solution. Users can now seamlessly connect their Dataiku workflows with TitanML's Enterprise Inference Stack deployed within Snowflake's powerful data warehousing capabilities, enabling:

  • Effortless data ingestion from Snowflake into TitanML's deployments within Dataiku projects
  • Direct prompt execution powered by TitanML on Snowflake data within Dataiku
  • Simplified data preparation and transformation workflows

This integration opens up new possibilities for handling large-scale data processing and analytics tasks, making it easier than ever to leverage the combined power of Dataiku and Snowflake.

Enhanced JSON and Regex: Enable Support for Function Calling and Minimize Hallucinations

Robust support for JSON and REGEX to develop power RAG and agent applications

The latest update introduces improved support for JSON and regex operations within Dataiku workflows. This feature provides valuable capabilities for data manipulation and pattern matching. Users can now:

  • Generate text adhering to a required Regular Expression or JSON format, for easier downstream processing.
  • Utilize regex patterns for advanced text processing and data validation
  • Integrate these operations seamlessly into their existing Dataiku recipes and workflows

Swap Models Seamlessly: No Prompt Changes Needed

Chat templates have never been easier!

Perhaps the most impactful addition to the TitanML Dataiku Plugin is the introduction of chat templates. This feature revolutionizes how users interact with AI models within their Dataiku projects. With chat templates, you can:

  • Create structured conversations with AI models, similar to popular chat-based AI interfaces
  • Design custom prompts and response formats for specific use cases
  • Improve the consistency and quality of AI-generated outputs in your workflows

The chat template functionality opens up new possibilities for natural language processing, content generation, and interactive data analysis within Dataiku.

Faster Time to Value: Improved Documentation and Examples

Comprehensive documentation enables to have the Dataiku Snowflake integration live and running within minutes

The update provides more comprehensive documentation and examples, making it easier for users to get started with the plugin and leverage its full potential. New additions include:

  • Detailed instructions for setting up the TitanML Enterprise Inference Stack with multiple models
  • Step-by-step guides for integrating various AI tasks into Dataiku workflows
  • Examples of image-to-text, text generation, and RAG (Retrieval Augmented Generation) workflows

These improvements in documentation ensure that users can quickly implement advanced AI capabilities in their Dataiku projects, regardless of their experience level.

Upgrade Now: Compatibility and Requirements

The latest version of the TitanML Dataiku Plugin requires Dataiku DSS version 12.5.2 or higher. This ensures compatibility with the latest Dataiku features and optimizations. Additionally, the plugin now supports a wider range of AI models, including:

  • Image-to-text models (e.g., TitanML/llava-1.5-13b-hf-awq)
  • Text generation models (e.g., TheBloke/Llama-2-7B-Chat-AWQ)
  • Embedding models (e.g., BAAI/bge-small-en)

Conclusion: Empowering Data Scientists and Analysts

This major update to the TitanML Dataiku Plugin represents a significant leap forward in bringing advanced AI capabilities and integrations to the Dataiku platform. By offering official Snowflake integration, enhanced JSON and regex support, and innovative chat templates, the plugin empowers data scientists and analysts to tackle more complex challenges and deliver more impactful insights.

Whether you're working on natural language processing, computer vision, or advanced analytics projects, the latest version of the TitanML Dataiku Plugin provides the tools and flexibility you need to succeed. Upgrade today and experience the future of AI-powered data science workflows in Dataiku.

Contact us to schedule a demo and see how we can boost your Dataiku deployments and enhance them for Enterprise RAG workflows!

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