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Glossary

Retrieval-Augmented Generation (RAG)

Definition

Retrieval-Augmented Generation (RAG) is a technique where an AI model retrieves relevant information from your own data and uses it to ground its answer — so responses are accurate and current instead of guessed.
Summarize with AI:ChatGPTClaudePerplexity
Last updated June 2026

Key points

  • Connects a language model to your documents, databases, or knowledge base.
  • Reduces hallucination by answering from retrieved facts, with citations to the source.
  • Lets you update the AI's knowledge by updating the data — no retraining required.
Related:AI Product DevelopmentVector DatabaseFine-TuningLarge Language Model
Quick answer

Retrieval-Augmented Generation — common question

RAG is the right choice when knowledge changes often or must be sourced and citable — you update data, not the model. Fine-tuning changes how the model behaves or its style; the two are often combined.

More terms

Agentic AILarge Language ModelMulti-Agent OrchestrationIntelligent Document ProcessingComputer VisionMLOps
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