RAG Chatbot Development

Ever tried talking to your AI chatbot about company or industry specific things? Chances are that you have been experiencing hallunication.

Hallucination occurs when AI Chatbots are answering questions on topics that are not part of their original training data. But in a business setting you often want to use AI in your specific company context.

Your company already has the knowledge, in SharePoint, Teams, PDFs, projects and policies. Ideally you want your AI to be aware of that data.

That’s where Retrieval-Augmented Generation (RAG) chatbot development comes in. We build internal AI chatbots that answer questions with your context. Securely, accurately, and in your brand’s tone. No hallucinations, no risky data exposure, no confusion.

Is it for You?

This service is for project driven companies, companies with a lot of processes and procedures where critical info lives in shared drives, emails, or intranets.

If employees waste hours searching for files, asking the same questions, or re-creating content, a secure knowledge chatbot can transform how your team works.

Ps: if all this data lives in M365, Microsoft 365 Copilot is a great option to add context to your AI.

You’ll benefit most if you are:

A professional services or consulting firm with knowledge-heavy workflows
A customer support or HR team managing internal FAQs and templates
An operations or compliance lead handling frequent policy lookups
A Microsoft 365 admin seeking a private, compliant chatbot solution
An SMB leader wanting to preserve knowledge and reduce interruptions

How It Works

Discover

Identify high-value knowledge sources and target questions.

Prepare

Clean and structure your internal documents for indexing.

Build

Connect data via secure embeddings and retrieval layers.

Deploy

Launch your chatbot in Teams, SharePoint, or web portal.

Refine

Monitor accuracy, improve prompts, and expand coverage.

What you will Get

With RAG Chatbot development we create your own internal knowledge bot. We design and build chatbots that are grounded in your own data using RAG, so answers come from your verified content, not AI’s imagination.

Every chatbot project includes setup, fine-tuning, and governance controls for safe internal use.

At a glance:

Duration: 3-6 weken
Stack: M365 + Azure OpenAI + n8n

Format: Consulting + Build
Follow-up: Optional maintenance + knowledge expansion support

Outcomes You Can Measure

RAG Chatbot development has significant benefits for your company. Not only will it lower the risks of hallucination on traditional AI systems, it will also enable your employees to tap into the common knowledge of your company.

The Result?

FAQ

What is a RAG chatbot?

RAG stands for Retrieval-Augmented Generation. It’s a chatbot that retrieves relevant information from your documents before generating an answer, making it accurate and trustworthy.

How is this different from ChatGPT?

ChatGPT uses general knowledge from the internet. A RAG chatbot uses your company data, ensuring the answers are accurate and compliant.

Can it support multiple languages?

Yes, multilingual chatbots are available. We’ve deployed bots that handle English, Dutch, German, and French content.

How long does it take to deploy?

A basic chatbot prototype can be ready in 2–3 weeks. A full rollout with governance and analytics typically takes 4–6 weeks.