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Query Latency

Query Latency is the total duration required for an AI agent or RAG pipeline to process a request, spanning embedding generation, vector database retrieval, context re-ranking, and the final LLM inference. It represents the end-to-end delay that governs user experience, specifically the balance between retrieval depth and response speed.

Definition

Query Latency is the total duration required for an AI agent or RAG pipeline to process a request, spanning embedding generation, vector database retrieval, context re-ranking, and the final LLM inference. It represents the end-to-end delay that governs user experience, specifically the balance between retrieval depth and response speed.

Disambiguation

Distinguish between 'Inference Latency' (LLM only) and 'Pipeline Latency' (retrieval + processing + inference).

Visual Metaphor

"A multi-stop transit route where the 'query' must stop at a library (Vector DB) to pick up books before heading to a translator (LLM) to deliver the message."

Key Tools
LangSmithArize PhoenixvLLMRedisPineconeDatadog LLM Obs
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Conceptual Overview

Query Latency is the total duration required for an AI agent or RAG pipeline to process a request, spanning embedding generation, vector database retrieval, context re-ranking, and the final LLM inference. It represents the end-to-end delay that governs user experience, specifically the balance between retrieval depth and response speed.

Disambiguation

Distinguish between 'Inference Latency' (LLM only) and 'Pipeline Latency' (retrieval + processing + inference).

Visual Analog

A multi-stop transit route where the 'query' must stop at a library (Vector DB) to pick up books before heading to a translator (LLM) to deliver the message.

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