Finding the right information shouldn’t feel like searching for a needle in a haystack. Yet for many organizations, it still does. According to Forrester, 46% of data and analytics professionals struggle to locate existing dashboards, datasets or insights, and 44% don’t even know where to go with data-related questions.
That disconnect slows decisions, drains productivity and holds back innovation. In an era where speed and accuracy are everything, teams need a faster, more intuitive way to find the trusted data and context that drive business forward.
What’s new: Accelerated data discovery with Collibra AI Copilot
We’re excited to announce Collibra AI Copilot, a new experience designed to accelerate data discovery for every data consumer. Powered by generative AI and delivered through a natural language chat interface, the AI Copilot makes it faster and easier to navigate your data landscape, enhancing platform usability and eliminating common roadblocks to finding trusted data.
With Collibra AI Copilot, users no longer need to know exactly what they’re looking for – or what it’s called. Instead, they can simply ask questions in plain language and instantly get guidance to the right data and analytics assets, business glossary terms or Collibra product documentation. Whether you’re trying to build a dashboard or understand key terminology, the AI Copilot removes the guesswork and saves valuable time.
For example, you can ask, “What dataset would be helpful for building a training compliance dashboard?” and the AI Copilot will surface relevant, trusted assets, cutting hours of manual exploration down to seconds. The result: a more productive path to data-driven decisions across your organization.
How Collibra AI Copilot helps
Even with existing tools, navigating today’s complex data environments can be challenging. Large volumes of information spread across various systems, combined with evolving business terminology, often make it difficult to quickly find trusted, relevant data. Time-consuming manual searches and unclear definitions can slow down decision-making and frustrate users. Collibra AI Copilot solves these challenges by delivering an intelligent, user-friendly way to interact with your data landscape – streamlining discovery, clarifying business language and providing instant access to the guidance users need.
Collibra AI Copilot tackles these common challenges by:
- Accelerating data asset discovery through natural language queries
- Providing instant, contextual definitions for business glossary terms
- Delivering immediate access to Collibra documentation for self-service
How Collibra AI Copilot works
The Collibra AI Copilot operates on a sophisticated architecture primarily driven by Retrieval Augmented Generation (RAG), which addresses the limitations of standard Large Language Models (LLMs) by grounding responses in Collibra-specific, verifiable information. Unlike general LLMs that lack domain or use case-specific knowledge and verifiable outputs, RAG ensures that the AI Copilot provides accurate, up-to-date and use case-specific information by augmenting the LLM with relevant context from the Collibra instance. This approach is crucial because “context is king” for effective data discovery.
Asking Collibra AI Copilot a question directly from the homepage for instant data guidance
When a user asks a question via the AI Copilot chat interface, the query first interacts with the AI Copilot Service within Collibra’s Cloud Hosting Infrastructure. A conductor then analyzes the user’s question to determine which suitable agents should be leveraged. Currently, Collibra AI Copilot employs three main agents:
- Data and Analytics Discovery agent for data assets
- Business Definition agent for glossary terms
- Collibra Documentation agent for product documentation
These agents are designed to focus the LLM on specific use cases within the Collibra platform.
After the conductor selects the appropriate agent, a semantic search identifies candidate assets or documentation. Concurrently, a user permission check and information retrieval occur from the Collibra Platform. The retrieved information is processed through the AI pipeline, where specialized processors for data assets and glossary terms generate embeddings – vectorized representations of the content. These embeddings are then stored in an Elasticsearch Vector Store. (This embedding creation process runs overnight and respects your configured content scope for each AI agent, ensuring up-to-date and relevant data is always ready for efficient search.)
These embeddings, representing the use case-specific context, are then combined with the original user question to create an enriched prompt.
This enriched prompt is then sent to a Google Vertex Gemini LLM for answer synthesis. The LLM leverages this highly relevant and grounded information to formulate an accurate and comprehensive response, which is then returned to the user.
Admins can choose which users have access to Collibra AI Copilot and tailor the agents by curating searchable content based on asset types, status and organizational scope.
Why you should be excited
Collibra AI Copilot offers significant value across various roles within your organization, making data interaction more intuitive and efficient. By delivering instant access to trusted information, it helps boost productivity and speed up key decisions.
For data consumers and analysts
- Accelerated data discovery: Quickly find relevant data assets for analysis, reporting or AI model building using natural language queries, eliminating time-consuming manual searches
- Improved data understanding: Gain immediate clarity on business terms, acronyms and KPIs by asking for formal definitions directly within the interface
For data stewards & administrators
- Consistent governance: Help ensure consistent understanding of business definitions across the organization by providing a single, easily accessible source for approved terms
- Efficient documentation access: Instantly retrieve step-by-step guidance from Collibra product documentation for administrative tasks, such as enabling user features
- Adaptive support: Tailor AI agents that leverage your organization’s unique semantics and business context, extending the AI Copilot’s utility to specific departmental needs
Key takeaways about Collibra AI Copilot
Collibra AI Copilot revolutionizes data discovery by making it faster and more intuitive for every data consumer, leveraging generative AI. By centralizing access to data assets, business definitions, and Collibra product documentation within a single chat interface, it truly embodies the “Power of One” vision described in our June launch. This innovation dramatically cuts the time professionals spend searching for the right information, while boosting data literacy and empowering faster, more confident data-driven decisions.
