From the course: Building AI-Ready Applications with Azure Databases and AI
Join today to access over 24,800 courses taught by industry experts.
Introduction to retrieval-augmented generation (RAG) - Azure Tutorial
From the course: Building AI-Ready Applications with Azure Databases and AI
Introduction to retrieval-augmented generation (RAG)
- [Speaker] Retrieval-Augmented Generation is a state-of-the-art technique that combines retrieval and generation to improve the accuracy of AI systems. By understanding the basics of RAG, you'll be able to leverage this powerful technique in your own AI projects. RAG works by retrieving relevant information from a knowledge base and using it to generate accurate and contextually relevant responses. This approach significantly improves the model's relevancy by providing it with additional context and information. For example, imagine you have a question answering system. When a user asks a question, the rack pattern first retrieves relevant documents from a knowledge-base, these documents provide the necessary context. Then the model uses this context to generate a precise and relevant answer. This combination of retrieval and generation allows the model to handle more complex tasks and provide more accurate results. It is like having a smart assistant that not only knows a lot, but…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.