LLMOps With Dataiku

Get Unparalleled Flexibility via the LLM Mesh

The Dataiku LLM Mesh makes it easy to connect with different LLMs, whether from providers like OpenAI, Anthropic, and AWS Bedrock or from self-hosted models on Hugging Face. Teams can mix and match models to fit their needs, choosing the right one for each task — all with the right level of governance and control.

With this setup, users can quickly test and swap LLMs without breaking workflows. Whether experimenting before launch or updating models already in production, Dataiku makes it simple to adjust and optimize results on the go.

Improve, Monitor, Iterate — All in One Place

In LLMOps, solving issues often means going upstream to refine parts of the pipeline. Dataiku is the only platform that provides enterprise-grade GenAI builder tools and all of the tools for monitoring GenAI applications in production — all in one platform.

If performance problems arise, users can quickly jump into Prompt Studios, experiment with new prompts, and push updates directly into their flow.

For more targeted improvements, teams can fine-tune models without writing code or create custom knowledge banks using internal documents and datasets. These features ensure LLMs deliver precise, context-aware responses that align with business needs and drive better outcomes.

Govern All Things GenAI

Dataiku Govern ensures LLMOps practices align with AI governance standards with gates and sign-offs, making sure that each step in the LLM lifecycle — from experimentation to production — meets compliance requirements.

A full audit log captures which LLMs are used and how end users interact with them, providing transparency and control over GenAI operations. An LLM Registry allows to qualify LLM suitability and enforce usage guardrails; confidently manage documentation, track costs, monitor performance, and identify suitable use cases for each LLM in one place.