SmartFAQs.ai
Back to Learn
Deep Dive

Active RAG

Active RAG is an architectural pattern where the language model dynamically decides during the generation process whether it requires additional information, triggering iterative retrieval steps to fill knowledge gaps. This paradigm shifts retrieval from a static pre-processing step to a conditional, agentic loop that optimizes for accuracy and reduced hallucinations.

Definition

Active RAG is an architectural pattern where the language model dynamically decides during the generation process whether it requires additional information, triggering iterative retrieval steps to fill knowledge gaps. This paradigm shifts retrieval from a static pre-processing step to a conditional, agentic loop that optimizes for accuracy and reduced hallucinations.

Disambiguation

Unlike 'Passive RAG' which retrieves once at the start, Active RAG retrieves context continuously or conditionally during inference.

Visual Metaphor

"An investigative journalist who stops writing mid-sentence to make follow-up phone calls whenever they realize their current notes are insufficient to finish the story."

Key Tools
LangGraphLlamaIndex (Query Pipelines)DSPyHaystackLangChain (Self-Querying Retriever)
Related Connections

Conceptual Overview

Active RAG is an architectural pattern where the language model dynamically decides during the generation process whether it requires additional information, triggering iterative retrieval steps to fill knowledge gaps. This paradigm shifts retrieval from a static pre-processing step to a conditional, agentic loop that optimizes for accuracy and reduced hallucinations.

Disambiguation

Unlike 'Passive RAG' which retrieves once at the start, Active RAG retrieves context continuously or conditionally during inference.

Visual Analog

An investigative journalist who stops writing mid-sentence to make follow-up phone calls whenever they realize their current notes are insufficient to finish the story.

Related Articles