RAG is a core component of LLM applications. The idea is to index your data in a vector database and then use the LLM to generate responses based on the indexed data. The concept seems simple but the implementation can be complex. I recently am researching on Dify - a popular LLM application platform and found its RAG engine is a good case study to understand how to implement a comprehensive RAG system.