RAG is the "killer app" of AI.
Or, at least, it's the killer app of AI for 2024 AI Agents will be the killer app of AI in 2025 and beyond. Watch this space...
Back to RAG - it's not a specific app. It's a technique we use with AI that's simple but incredible effective: we combine a language model with your own documents and data.
Here's how it works: you have a repository of your own data - your documents, records, or files. RAG enables the language model to access and read these documents, meaning it can generate responses that are specifically tailored to your data.
In technical terms, RAG stands for Retrieval Augmented Generation, and models like ChatGPT, Claude, or Gemini can get to "know" your business and your team's data, allowing the model to provide answers that are accurate, context-driven, and based on your unique information.
This puts the AI model on steroids - instead of writing generic responses, it uses your data to give you specific answers that make sense for your unique situation.
This means you get answers that are up-to-date, relevant, and specific to your business/team/organisation.
⚠️ This is important because AI is only as good as the data it's based on. We've all heard the phrase "Garbage In, Garbage Out".
RAG helps us make sure what we put in is relevant and useful to the context of what we want to get out, i.e. NOT garbage.
So, how do you implement RAG? There are many options, some very simple, and some a lot more complex (and expensive). It depends on factors like:
What's your budget?
- High: Go self-hosted
- Moderate: Consider third-party options
- Low: ChatGPT is your friend
How sensitive is your data?
- Very: Self-hosting is the safest
- Moderate: A trusted vendor works
- Low: Cloud-based is fine
What's your AI expertise?
- Advanced: Go self-hosted
- Intermediate: Third-party solutions
- Beginner: ChatGPT & similar options
You can't just switch on RAG and expect instant results:
🗂️ Use up-to-date, clean, and well-organised data.
🔄 Check compatibility with your current systems.
👩💻 Train staff to use RAG effectively.
🔒 Ensure you follow data privacy laws.
⚙️ Regularly update and fine-tune your setup.
Would you like help setting up RAG for your business? Comment "RAG" below and I'll DM you some resources to help you get started.