RAGs vs Agents Ask an LLM about your company's data and it will guess. The two patterns that fix this are RAG and agents, and they solve different problems. RAG... (opens in new tab)

RAGs vs Agents Ask an LLM about your company's data and it will guess. The two patterns that fix this are RAG and agents, and they solve different problems. RAGs: RAGs combine LLMs with retrieval to ground answers in 4 steps. Step 1: The user query is embedded and sent to a retrieval step. Step 2: Retrieval pulls the most relevant chunks from a knowledge base (PDFs, wikis, etc.) Step 3: Those chunks are pasted into the prompt as context. Step 4: The LLM writes ...