An Internal Knowledge System with AI

Do you want your 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 natural language, and the chatbot searches directly in 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.

What is RAG and why does it work so well?

RAG means that an AI chatbot first searches your own knowledge source (documents, wikis, manuals, policies) and only then generates an answer. This ensures that:

• The answer always aligns with internal reality

• No fabrications are given (as sometimes happens with pure LLMs)

• Confidential data is 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

• LlamaIndex (llamaindex.ai) – Open source, widely applicable

• Haystack (haystack.deepset.ai) – Strong in enterprise search

• LangChain (langchain.com) – Powerful for integrations and custom solutions

• OpenWebUI (open-webui.github.io) – Simple, modern web interface for chat and management

Vector databases (for document storage and fast search)

• ChromaDB (trychroma.com)

• Weaviate (weaviate.io)

• Qdrant (qdrant.tech)

AI Models

• Large models in the cloud

  • OpenAI GPT-4

  • Google Gemini

  • Azure OpenAI Service

• Proprietary models (on-premises or private cloud)

  • Llama 3 (Meta), Mistral, DeepSeek, GPT4All, via Ollama or LocalAI

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 want them to!

How to easily add documents

Most modern knowledge systems offer a simple upload or synchronization function.
For example, this works as follows:

1. Upload your documents (PDF, Word, txt, emails, wiki pages) via the web interface (like 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 possible with LlamaIndex or Haystack.

Data remains secure and internal

Whether you choose proprietary models or large cloud models:

• You decide what goes out and what doesn’t

• Integration with Single Sign-On and access control is standard

• Audit trails: who accessed what?

For sensitive information, it is advisable to use AI models on-premises or within a private cloud. But even if you use GPT-4 or Gemini, you can configure it 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. Here’s how!

1. Add and categorize content

Uploading documents

• Log in to OpenWebUI via your browser.

• Go to the Documents or Knowledge Base section.

• Click Upload and select your files (PDF, Word, text, etc.).

• Tip: When uploading, add a category or label, such as “HR”, “Tech”, “Sales”, “Policy”, etc.

Advantage: By categorizing, the right chatbot (expert) can focus on relevant sources and you always get an appropriate answer.

2. Chatbots with their own specializations (roles)

OpenWebUI allows you to create multiple chatbots, each with its own specialization or role. Examples:

• HR-Bot: Questions about leave, contracts, employment conditions.

• IT-Support: Help with passwords, applications, hardware.

• PolicyBot: Answers about company policy and compliance.

• SalesCoach: Information about products, prices, and quotes.

Ready to start or prefer assistance?

Do you want to quickly run a proof-of-concept? With tools like OpenWebUI and LlamaIndex, you can often have a demo online in just one afternoon!
Do you want to set it up professionally, integrate it with your existing IT, or does it need to be truly secure?
NetCare helps with every step: from tool selection to implementation, integration, and training.

Contact us for a no-obligation consultation or demo.

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