
In this article, you'll learn how to create a searchable knowledge base from Microsoft Teams chats that your AI can use for instant answers to internal questions. With our solution, the Teams Chat Exporter, you can export your Teams chats with one click and the resulting database becomes a source of knowledge - your AI can access it later and provide smart answers.
Do you recognise this? You need information from an old project, but you can't remember which chat it was in. So you ask colleagues again, click through threads or search through eternally old team messages. That takes time - and nerves.
Now imagine if all this information was automatically stored in a searchable knowledge database land. You simply ask a question - and in Seconds a precise answer.
We have developed a solution for precisely this: With the Teams Chat Exporter you can export your chats and build your own knowledge base that your AI can access directly - Intelligent, context-related and available at any time.
How does it work? With a clever system in the background - we'll explain that in a moment.
What is the Teams Chat Exporter?
The Teams Chat Exporter is a tool that allows you to securely export and archive complete Microsoft Teams chats, whether 1:1, group or channel conversations, including all attachments, and restore them if required. It is also easy to back up several conversations at the same time, using the integrated PowerApp and with just a few clicks.
The application is ideal for companies that regularly need to document Teams chats, e.g. for compliance, internal processes or project archiving. The export is in HTML format, works locally or in the cloud and requires no prior technical knowledge.
Simple. Secure. Paid once.
How it works - RAG explained simply
RAG stands for "Retrieval-Augmented Generation".
This means that an AI such as ChatGPT not only receives general knowledge from its training data set - but can also access your own information access.
Imagine you ask the AI a question.
Before she answers, she first looks in a kind of private reference book (e.g. your exported team chats) to see if there is anything suitable there.
She gives herself the best hits as context - and only then she formulates an answer.
This is how you get:
- More detailed answersbecause they are based on your real knowledge
- Less guessworkbecause the AI does not have to "hallucinate"
- Quick helpwithout having to ask colleagues
This is how you turn your AI into a real knowledge worker with access to what really matters to you.

Teams Chat Exporter Integration
With the Teams Chat Exporter, you can not only back up your Microsoft Teams chats, you can also Use as a knowledge base for your own AI.
Export important conversations from 1:1, group or channel chats and turn them into a searchable databasethat your AI can access via RAG. This creates an internal chatbot that doesn't just give general answers, but really knows what's going on in your company.
You can have the exports updated regularly and automatically, e.g. every week or every day. New information flows automatically into the database - without any manual updating.
The result:
An intelligent assistant that can answer questions about projects, agreements or processes based on your real team communication.
Quick access to knowledge, fewer queries in the team and a central source for everything that is important.
What does that mean for your company?
Imagine you want to know, whether project X has already been released internally.
Instead of asking colleagues, searching through emails or scrolling through old chats, just ask your AI - and get a well-founded answer in seconds.
Or you want to know, when a customer last asked for a specific feature? No problem: the AI looks up your chat history and immediately provides you with the information you need based on internal company data.
This not only saves time. It also prevents:
- Waiting times for feedback
- Duplication of work due to missing information
- Wrong decisions due to incomplete knowledge
With an AI-supported company chatbot based on your own communication, you can:
- Accelerate processes
- Centralise project knowledge
- Relieve internal communication
Your employees no longer need to know everything, they just need to know, where you can ask.
And that's exactly what the AI does.
Why RAG is important right now
In modern companies, the amount of information grows daily, whether in meetings, project chats or documents. At the same time, teams are increasingly working remotely or across different locations. As a result, valuable knowledge is often scattered around: in individual heads, old chats or files that are difficult to find.
The result? If you need specific information - such as the status of a project or a decision that has been made - you often first have to ask colleagues, laboriously search for emails or scroll through confusing chats.
This approach solves precisely this problem.
This is because it transforms distributed knowledge into a searchable, intelligent database that an AI like ChatGPT can access in a matter of seconds. This turns isolated information into active knowledge, and you get answers exactly when you need them.
Conclusion
With the combination of Teams Chat Exporter and RAG technology you take knowledge in your company to a new level. What used to be hidden in scattered chats is now accessible in a structured way, without any manual searches or waiting times for feedback.
Instead of asking questions such as "Who knows what was decided in project X?", you get an immediate, well-founded answer because your AI can access your real communication data directly. This not only saves time, but also reduces errors, repetition and internal friction.
Knowledge becomes a resource that can be used by everyone, at any time. Simply export. Connect automatically. Know immediately.
We are happy to support you with Set up your individual RAG structure, from setting up the Teams Chat Exporter to connecting to an AI system such as ChatGPT. Whether it's consulting, setup or automation: we help you to utilise your internal knowledge productively.
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These are ourFrequently asked questions
Do I need programming skills to use RAG in my company?
No. The setup can be implemented with tools such as PowerApps and ready-made interfaces, even without in-depth IT knowledge. We can support you with the integration on request.
For whom is RAG integration particularly worthwhile?
For all teams that need to access their internal knowledge quickly: HR, IT, project management, support or compliance. The technology saves time, reduces queries and improves the quality of decisions.
How do I automate knowledge access in my agency without tying up my team's capacity?
Using a RAG structure with automatic chat export, you can build up a searchable knowledge database. Your AI answers operational questions independently, e.g. about customer approvals, timings or file paths, without your team having to provide constant manual assistance.
What exactly is RAG and how does it differ from normal AI use?
RAG (Retrieval-Augmented Generation) combines generative AI with your own knowledge source, e.g. your exported team chats. The AI not only answers questions with trained knowledge, but also actively searches your data for relevant content.
How up-to-date is the information that KI uses about RAG?
This depends on how regularly you feed in your data. With automated workflows (e.g. via Power Automate), new exports or changes can be integrated on an ongoing basis so that the AI is always up to date.
Is the use compliant with data protection regulations?
Yes, if you process your data locally or in a GDPR-compliant cloud. The architecture can be designed in such a way that sensitive information is processed securely and no unauthorised third parties have access.