Augmented RAG with n8n | Mar 5, 2025

AI & its practical application in business

Keywords

AI, business, document management, retrieval augmented generation, proof of concept, facility management, asylum seekers, technology, innovation, data processing

Summary

In this podcast episode, Bas Alderding and Koen Ter Velde discuss the practical applications of AI in business, specifically focusing on a proof of concept (POC) they developed for the Dutch Central Agency for the Reception of Asylum Seekers (COA). They delve into the challenges of document management within the agency and introduce the concept of Retrieval Augmented Generation (RAG) as a solution. The conversation covers the technical aspects of their implementation, including document ingestion, summarization, and the role of an AI agent in facilitating user interaction. They also explore future developments and the scalability of their solution, highlighting its potential for broader applications beyond contract management.

Takeaways

• The proof of concept was developed for COA.
• RAG stands for Retrieval Augmented Generation.
• Document management is a significant challenge for organizations.
• AI can help streamline the retrieval of information from documents.
• Summarization of documents is crucial for effective information retrieval.
• The solution involves a multi-step process for document ingestion.
• AI agents can enhance user interaction with the system.
• Scalability is a key feature of the developed solution.
• Future developments include parsing images and scanned documents.
• The RAG model can be applied to various use cases beyond contracts.

Titles

• Unlocking AI's Potential in Document Management
• Revolutionizing Asylum Seeker Support with AI

Sound Bites

• "We built a custom tool for COA."
• "We have a whole list of feedback."
• "It's really scalable now."

Chapters

00:00 Introduction to AI in Business

01:47 Understanding Retrieval Augmented Generation (RAC)

04:35 The Problem with Document Management

07:09 Proposed Solution: Augmented Rack Model

09:56 Technical Overview of the Proof of Concept

19:27 Future Developments and Scalability