K21 media GmbH: AI chatbot for information platform

Industry:Media

The specialist platform Kommune21 has been providing information on e-government trends, projects and solutions for over 20 years. To simplify access to content and optimize the relevance search, P&M worked with the editorial team to develop an AI chatbot that understands content semantically and provides precise answers in seconds.

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Smart knowledge & transfer

The chatbot enables specialist users to find complex information immediately - without manual searching or lengthy reading. This turns knowledge into an active tool.

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Time savings for editors and users

Automated analysis and intelligent queries save hours of research work every day. Editors and administrators can concentrate on content instead of searching.

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Future-proof knowledge & infrastructure

The architecture of the chatbot is scalable, GDPR-compliant and expandable. New data sources can be easily integrated - the solution grows with demand.

K21-Case-1

Challenges

The technical challenges

The aim was to develop an AI-supported search solution that captures the content of thousands of specialist articles, PDFs and studies, links them semantically and makes them accessible in a dialog-based manner - without changing existing systems.

  • Processing of unstructured PDF documents and HTML content
  • Development of a high-performance vector database for semantic searches
  • Integration of an LLM for dynamic response generation
  • Secure hosting in a GDPR-compliant cloud environment
Implementation

The implementation steps

The project involved analysing and structuring the existing information archive and optimizing it for AI applications. P&M supported the entire process, from data preparation to productive integration.

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Data analysis target definition

Together with the editorial team, the existing content landscape was examined and prioritized. P&M defined the relevant sources, subject areas and interfaces for the AI-based search. This created a clear basis for structure, data quality and subsequent scaling.

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Normalization preparation

Unstructured PDFs and articles were automatically extracted, cleansed and standardized. This data preparation created a consistent knowledge base that can be semantically analyzed and provides the chatbot with reliable information.

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Vectorization of the database

A Weaviate vector database was created on the basis of the cleansed content. It links information semantically and enables the system to recognize connections between topics - regardless of file format or text structure.
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Integration of RAG LLM

P&M then linked the vector database to a large language model (OpenAI GPT) using a RAG architecture. This resulted in an adaptive system that responds to complex questions in natural language and obtains comprehensible sources.
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Frontend development testing

The chat interface was designed to be modern, accessible and intuitive. A multi-stage test process ensured performance, relevance and response quality - with a focus on user-friendliness and data protection.
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Go-Live further development

After going live, P&M provides ongoing support - with monitoring, regular updates and continuous optimization of response quality through feedback loops.

Result

A future-proof modern platform

The result: an intelligent, editorially validated chatbot that makes all of Kommune21's expertise immediately accessible - context-sensitive, dialog-oriented and secure.
  • Relevant results in seconds instead of minutes
  • Seamless integration into the existing website
  • 100% GDPR-compliant processing
  • High scalability for growing content volumes
K21-Case-2

Cases

Success stories that inspire

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Corporate Website

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Hubspot
Highres_P_M_Juli_23_1064_Verkleinert-jpg-2

Corporate Website

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Hubspot