NLP & Language · intermediate · concept 80 of 176
Retrieval-Augmented Generation (RAG)
Combining LLMs with external knowledge retrieval. Instead of relying solely on training data, RAG retrieves relevant documents and passes them to the LLM, reducing hallucinations and adding current information. Contextual retrieval prepends document context to each chunk before embedding, a simple fix for chunks that lose their meaning alone.
Interactive · 3D
Graph Types for AI Agents: retrieval structures compared →
One dataset modeled six ways: vector index, knowledge graph, and friends.
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Where you meet it in the real world
Enterprise chatbots, document Q&A, customer support, legal research
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