Retrieval-Augmented Generation (RAG) integrates intelligent retrieval and knowledge base technologies. It drives content generation through knowledge bases, offering strong interpretability and deep customization capabilities. Apps can quickly implement services such as knowledge Q&A and smart assistant by integrating the RAG capability provided by Data Augmentation Kit. This kit also allows you to flexibly configure core parameters for RAG running through templates, enabling in-depth customization in the entire process.
The working principle is as follows: The LLM parses user queries, intelligently retrieves content from the knowledge base, and finally integrates the retrieval results to generate natural and smooth replies. The following uses the streaming knowledge Q&A scenario as an example to describe how to use RAG.
