RAG Architecture
AIAgents A technical deep dive into Retrieval-Augmented Generation (RAG)
Discover the definitive technical guide to Retrieval-Augmented Generation (RAG). Learn how to eliminate LLM hallucinations by grounding AI in your private data. This post breaks down the complete RAG architecture into four actionable stages: Indexing unstructured data into vector databases, performing semantic Retrieval (vector search), optimizing Prompt Augmentation, and ensuring factual Generation. Perfect for engineers building reliable AI systems.