Dialogue-Based

Question Answering Systems

AI Solution for Interactive Content Delivery

Intelligent Q&A Systems – Ready to Use, Easily Customisable

Are you looking for an interactive, dialogue-based question-answering system — like ChatGPT — but precise and based on your own content? Would you like to leverage existing data and content pools efficiently while seamlessly integrating external sources?

No problem! Our question-answering systems are ready to use right away and can be seamlessly connected to your data via standard API. Expand the range of questions that can be answered to topics for which no specific editorial content is available by relying on agent-based data integration. The result is highly accurate, context-sensitive answers in natural language.

This allows you to increase user engagement at all desired touchpoints and significantly strengthen loyalty to your content and offerings. You can also benefit from comprehensive quantitative and qualitative analyses directly from the Q&A system: performance KPIs, transparent usage patterns and valuable thematic insights from real user questions.

Practical Use Cases of Question-Answering-Systems

Daniel Geiger, Head of Product at NPG, says:

"With 'Ask Me,' we are taking the digital use of our content to a new level. Our subscribers get interactive, dialogue-based access to journalistic topics—anytime and precisely when they need it. This increases both the appeal and the frequency of use of our apps."

Added Value for Media Companies, Publishers & Beyond

With our Q&A solution, you and your teams benefit in multiple ways:

Quick Setup & Easy Integration

Connect internal and external data and content pools (e.g. XML, JSON, PDF) via a standard API—fast and hassle-free.

Advanced Filtering Logic

Categorise and structure content using generic or customer-specific filters. Enables structured delivery in live operations—e.g. by topic, tags, authors, or publication date.

Automated Source References

Every answer is provided with transparent references to the data sources used—ensuring maximum traceability and trust.

Real-Time Answer Streaming

For fluid, interactive dialogues: questions are processed in real time, contextual example questions are provided, and appropriate follow-up questions are generated dynamically.

Agentic AI

Agent-driven information hubs using verified internal and external databases and APIs as sources for answering user questions.

Adaptive front-end widget

Easy integration via widget for a quick, brand-compliant launch, including branding, logos, fonts, colours, text labels and disclaimers.

Ideal for Media, Publishers & Content Providers

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Automated Article Chats

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Research Tools

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Intelligent FAQs & Chatbots

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Interactive Knowledge Archives

Christine Fuss, Managing Director, Huethig Jehle Rehm (HJR)

“With rehm eLine Smart Assist we use the current possibilities of generative AI specifically so that our customers can access complex legal matters more easily and quickly. The great advantage is the combination of natural question formulation, no need to sift through extensive hit lists, and a summarising answer as a result. In addition, the claim to legally secure information does not have to be abandoned because the answers are based exclusively on the well-founded, current content of the publisher. Overall, we are very close to the needs of our users and change the way information is found in their favour.“

Benefits for End Users & Employees

Your customers and teams will benefit in multiple ways:

Efficient Research Processes

Quick, targeted searches for decision-relevant information—without detours.

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Accurate Search Results in Real Time

Users receive precise answers tailored exactly to their queries.

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Verifiable Source References

Every response is automatically backed by verifiable sources — for maximum transparency and time savings.

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Intelligent Responses

The AI understands follow-up questions and maintains a logical dialogue — for a natural user experience.

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Enhanced User Satisfaction

Interactive dialogues simplify information retrieval and increase user and employee engagement.

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Conversational Analytics

Use verified internal and external databases and APIs as sources to answer user questions for agent-driven information hubs.

What Makes Our Question-Answering Systems Unique?

	Retresco’s Q&A Solution	Similar Systems
Data Integration	Agent-based retrieval-augmented generation (RAG) with dynamic API integration of external and internal data sources (CMS, archives, databases, live feeds). Enables in-depth, up-to-date and customer-specific responses specifically for media companies (stock market, weather, traffic, etc.).	Classic RAG or static data connections with limited API integration; often restricted to predefined data sources or document sets.
Front-end widget	Quickly ready to go with a CI-compliant widget (branding, colours, labels, disclaimer). Embed directly into articles, sections, dossiers or apps – without complex front-end projects.	Often individual front-end development or isolated chat interfaces without native integration into the relevant content environment.
Content quality	Prioritises curated, journalistically verified data sources with precise source citations and traceable references. Minimises misinformation and distorted content.	Higher risk of inaccurate or distorted content due to uncurated databases, zero-shot generation or missing source references.
Semantics	Advanced semantic analyses and media ontologies for precise contextual understanding, topic assignment and content relevance in editorial environments.	Often keyword- or embedding-based search without domain-specific semantics; lower context hit rate.
Adaptability	Individually configurable for publishers and media companies (departments, taxonomies, content types, workflows, paywall logic).	Generic Q&A setups with limited adaptation to media workflows or editorial structures.
Media expertise	Optimised for journalistic research, content generation, reader services, archive information and knowledge portals in media organisations.	Broad knowledge approach without specific media or publishing focus and without optimised output formats.
Multilingualism	Multilingual output with localised terminology, SEO optimisation and linguistic fine-tuning for different target markets and regions.	Focus on English; localisation mostly via simple translation without SEO or style adaptation.
Scalability	Designed for large content repositories, historical archives and continuous data streams (e.g. news feeds).	Limitations with larger or heterogeneous data sets and real-time updates.
Automation	Automated generation, prioritisation, and updating of responses based on trends, usage signals, and editorial rules.	Mostly just reactive response generation without strategic weighting or prioritisation.
Editorial control	Clear interface with detailed insights into retrieval, source and generation processes for editorial control.	Technically oriented interfaces with low transparency for specialist users.
Conversational Analytics	Detailed evaluations and clusters on usage, question patterns, and topics of interest—can be integrated directly in the front end or automatically via API push into analytics and content management systems and dashboards.	Barely structured evaluation of user questions. Mostly just simple chat logs without systematic analysis or integration into analytics/editorial systems.
Chat history	Easily structured, nameable and retrievable chat histories for editorial teams, knowledge management and research documentation.	Chats are often fleeting or cannot be organised systematically; limited reuse.
User feedback	User reviews, comments and correction notes for optimisation and quality assurance are provided via a module.	Rarely integrated feedback mechanisms; quality improvement mostly manual or external.
Language model connection	Vendor-independent integration of current and specialised language models – updatable at any time.	Often tied to a specific language model or ecosystem.
Updates	Regular development with new features specifically for media and publishing applications.	Standard updates without industry focus or customer-specific enhancements.
Support	Consulting and implementation by AI and media experts with industry knowledge.	Generic support without specific media or SEO expertise.

Learn more about our products and their benefits in different industires

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Your marketing contact

Aleksandar Petrovic

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