Comparing a $100 n8n RAG System Vs. $10,000 RAG

• Introduction to NA10 System: The video begins by discussing the limitations of the existing NA10 rag system, highlighting the lack of production-level readiness and compliance with regulations such as GDPR and HIPPA.
• Localized Large Language Models: The speaker explains their production-level system using localized AI models, ensuring data privacy as no external API keys are used, allowing offline operation.
• System Compliance: A detailed look at the system’s compliance with key regulations is provided, including audit log features essential for GDPR and HIPPA adherence.
• Efficient Query Processing: The video contrasts the speed and reliability of the speaker’s system with traditional methods, due to its innovative approach to handling and injecting vector store context into user queries.
• User-Friendly Interface: Emphasis is placed on the system’s ease of use, resembling popular chat systems like chat GPT, ensuring clients find it intuitive and approachable.

Quotes:

I would never hand this over to a client because this is nowhere near production level ready.

We could essentially run this connect to AI or large language models without even an internet connection.

It’s like using chat GPT, right? Very, very easy to navigate your way around it.