Talk to your data portal in plain English: Introducing QuerylessAI
João Demenech
Data portals were built to make information accessible.
In practice, most users still struggle to find answers.
They must search through datasets, understand metadata, download files, and often write queries before they can extract a single insight.
The data is open – but the insights remain locked behind complexity.
What if exploring a data portal could be as simple as asking a question?
Conversational AI for Data Portals
Today we’re introducing Queryless AI integration for data portals – a conversational interface that lets anyone explore datasets in a data portal simply by asking questions in plain English.
With Queryless, users can find datasets, ask questions about the data, and generate insights or charts without needing technical skills or complex queries.
This integration is now available on the PortalJS demo portal, and is designed to work with modern data portal platforms such as PortalJS and CKAN. It shows how AI can make open data platforms more accessible and interactive.
A Conversational Way to Explore Data
Instead of navigating through pages or writing queries, users can now open a chat panel and ask questions such as:
- What datasets are available about climate?
- What organizations publish transportation data?
- Can you show the top values in this dataset?
- Create a chart from this data.
The assistant interprets the question and responds with relevant information from the portal, helping users quickly discover and understand the data.
Built Into the Portal Experience
Queryless integrates directly into the portal interface.
Users can ask questions at any time while browsing datasets, organizations, or groups – and the assistant automatically understands the context of the page.
The assistant is designed to feel like a natural part of the portal interface.
A floating “Ask AI” button opens a chat panel on the side of the screen, allowing users to interact with the assistant while still browsing the portal.
The chat remains available as users move between pages, so conversations continue naturally as they explore different datasets and organizations.
Context-Aware Assistance
Unlike generic AI chat interfaces, Queryless understands the structure of data portals – including datasets, organizations, groups, and metadata.
This allows it to provide precise, contextual answers instead of generic responses.
Traditional chatbots operate without context.
One of the most powerful aspects of Queryless is that the assistant understands where the user is in the portal.
For example, if someone is viewing a dataset page, the assistant can:
- explain the dataset
- highlight key fields
- generate charts
- answer questions about the dataset
If they are browsing organizations or groups, the assistant can reference that context in its responses.
This transforms the portal from a static catalog into an interactive data exploration environment and makes the experience feel much more relevant and useful than a generic chatbot.
Rich Responses and Data Visualization
Queryless doesn’t just return text answers.
The assistant can generate structured responses including:
- formatted explanations
- lists and tables
- links to datasets
- and even charts generated from the data
Users can go from question → insight → visualization in seconds, without downloading files, opening spreadsheets, or writing code.
Designed for Real Data Portals
Queryless is designed for real-world data infrastructure, not just demos.
The Queryless integration is built to work across real-world data platforms and communication channels.
It already supports PortalJS and CKAN-based data portals, enabling conversational data discovery directly within modern open data interfaces. In addition to the portal experience, Queryless can also operate through messaging platforms such as Telegram and WhatsApp, allowing users to ask questions about data from tools they already use daily.
This flexibility means organizations can make their data accessible in multiple ways – whether through a web portal, a chat interface, or messaging platforms – helping more people discover and interact with data wherever they are.
Lowering the Barrier to Data
Data portals often struggle with accessibility. While they provide open access to information, extracting insights still requires technical knowledge.
By adding a conversational interface directly into the portal, Queryless helps lower that barrier.
Instead of learning how the portal works, users simply ask questions and explore the data conversationally. They can:
- discover datasets faster
- explore data more intuitively
- generate charts instantly
- and ask follow-up questions as they learn
The result is a more approachable and powerful data portal experience for everyone. Researchers, policymakers, journalists, analysts, and the public can all explore data more easily – not just technical experts.
Why is this for
Queryless is designed for organizations that want to make their data portals easier to explore and more useful for a wider audience. It is particularly valuable for teams managing:
- open data portals
- government data platforms
- research data portals
- enterprise data catalogs
- internal knowledge/data hubs These platforms often contain thousands of datasets, but navigating them can be difficult for non-technical users.
Try Queryless on a Data Portal
Curious what conversational data exploration feels like?
You can try the Queryless integration live on the PortalJS demo portal and experience how asking questions in plain English can help you discover datasets, generate charts, and explore data more intuitively.
👉 Try it now: https://demo.portaljs.com
If you're interested in bringing conversational AI to your own data portal – whether powered by PortalJS, CKAN, or other platforms – we’d love to talk.
👉 Get in touch with Datopian: https://datopian.com/contact/
The Future of Data Portals
Data portals have traditionally been catalogs of datasets. With conversational interfaces like Queryless, they can evolve into interactive knowledge systems – where users ask questions and immediately explore answers. This shift has the potential to fundamentally change how people interact with public and organizational data.
Queryless helps transform traditional data portals into interactive platforms for AI-powered data discovery. By combining conversational AI with structured datasets, organizations can make their data portals easier to explore, understand, and use.