Artificial Intelligence Robot

An Internal Knowledge System with AI

Do you want colleagues to quickly get answers to questions about Products, policies, IT, processes, or customers? Then an internal knowledge system with its own chatbot is ideal. Thanks to Retrieval-Augmented Generation (RAG) such a system is smarter than ever: employees ask questions in plain language, and the chatbot searches directly within your own documentation. This can be done completely securely, without leaking data to external parties—even if you use large language models from OpenAI or Google.

  • Does the answer always align with internal reality
  • Are fabrications avoided (as is sometimes the case with pure LLMs)
  • Is confidential data never shared with the outside world

Which Tools Can You Use?

Setting up your own knowledge system can be done with various products, depending on your preferences and requirements for privacy, scalability, and ease of use.

Chatbot and RAG Frameworks

Vector Databases (for Document Storage and Fast Search)

AI Models

Important:
Many tools, including OpenWebUI and LlamaIndex, can connect both local (on-premises) and cloud models. Your documents and search queries never leave your own infrastructure unless you choose otherwise!


How to Easily Add Documents

Most modern knowledge systems offer a simple upload or synchronization function.
This works, for example, like this:

  1. Upload Documents (PDF, Word, txt, emails, wiki pages) via the web interface (such as OpenWebUI)
  2. Automatic Processing: The tool indexes your document and makes it immediately searchable for the chatbot
  3. Live Updates: If you add a new file, it is usually included in the answers within seconds or minutes

For Advanced Users:
Automatic connections with SharePoint, Google Drive, Dropbox, or a file server are easily achievable with LlamaIndex or Haystack.


Data Remains Secure and Internal

Whether you opt for proprietary models or large cloud models:

  • You decide what goes out and what stays in
  • Integration with Single Sign-On and Access Control is possible by default
  • Audit Trails: who consulted what?

For sensitive information, it is recommended to use AI models on-premises or within a private cloud. But even if you deploy GPT-4 or Gemini, you can configure settings so that your documents are never used as training data or permanently stored by the provider.


Example of a Modern Setup

With OpenWebUI you can easily build a secure, internal knowledge system where employees can ask questions to specialized chatbots. You can upload documents, organize them by category, and have different chatbots act as experts in their respective fields. Read how here!


1. Adding and Categorizing Content

Document Upload

  • Log in to OpenWebUI via your browser.
  • Go to the section Documents or Knowledge Base.
  • Click on Upload and select your files (PDF, Word, text, etc.).
  • Tip: When uploading, add a category or label, such as “HR”, “IT”, “Sales”, “Policy”, etc.

Advantage: By categorizing, the correct chatbot (expert) can focus on relevant sources, ensuring you always receive an appropriate answer.

AIR via openwebui


Specialized Chatbots

OpenWebUI makes it possible to create multiple chatbots, each with its own specialization or role. Examples include:

  • HR Bot: Questions about leave, contracts, employment conditions.
  • IT Support: Help with passwords, applications, hardware.
  • Policy Bot: Answers regarding company policy and compliance.
  • Sales Coach: Information on products, pricing, and quotes.



Get Started Now or Need Assistance?

Want to run a quick proof-of-concept? With tools like OpenWebUI and LlamaIndex, you can often have a demo online in a single afternoon!
Do you need professional setup, integration with your existing IT, or strict security requirements?
NetCare assists you at every step: from selection guidance to implementation, integration, and training.

Schedule contact a no-obligation consultation or demo.


NetCare – Your guide to AI, knowledge, and digital security

Gerard

Gerard works as an AI consultant and manager. With extensive experience at large organizations, he can unravel a problem and work towards a solution remarkably quickly. Combined with an economic background, he ensures commercially sound decisions.

AIR (Artificial Intelligence Robot)