What is RAG (Retrieval-Augmented Generation)?

It is the technology that enables AI to generate answers by reading only your company documents (PDFs, Word, Databases) that you uploaded to the system, rather than random information on the internet.

Is my company data being used to train OpenAI or Claude?

No. In the architectures we build at Otonomlab, we use Enterprise APIs. This ensures your data remains confidential and is not used to train language models.

Teach Your Company Data to AI: RAG and Corporate Memory

TL;DR

Your employees wasting each other’s time every day with questions like “What was our return policy?”, “Where is last month’s sales presentation?”, or “What is the new employee procedure?” is a significant cost. Thanks to RAG technology, we create an internal “Know-It-All” assistant by having a secure AI read all your company’s files. While your employees access the right information in seconds, your corporate memory is digitized.

Data Silos: The Silent Killer of Companies

Today, a modern SME’s data is everywhere: Accounting information in Excels, procedures in PDFs, and operational decisions getting lost in Slack messages or Notion pages. When an employee leaves, the corporate memory they learned up to that day leaves the company with them.

Classic search engines do not know the internal dynamics of your company. This is where Company-Specific AI (RAG) comes into play.

How Does RAG (Retrieval-Augmented Generation) Work?

The system we build at Otonomlab operates with the following steps:

Data Collection: Using n8n, all documents (Word, PDFs, spreadsheets) in your sources like Google Drive, Notion, and SharePoint are automatically scanned.
Vectorization: These texts are translated into a language the AI can understand and saved in a secure vector database (e.g., Pinecone, Qdrant).
Smart Response: When an employee asks via Slack or an internal panel, “What was our best-selling product in Q3 of 2025 and what was the marketing strategy?”, the assistant scans all documents and gives a summarized, cited answer in seconds.

Integrated Not Just With People, But Also With Systems

The only benefit of a RAG system is not just your employees asking questions. We can also connect this memory to the customer support bot on your website or the automations answering incoming emails. Thus, all outbound answers will be 100% compliant with your company’s current policies and will never contain “hallucinations” (false information).