Merry Christmas & Happy 2027! Less downtime. More good times. Celebrating 13 years of sorlavit.com
Skip to content
Sorlavit KimIT Support, Network & Infrastructure Services Let’s talk

ปุ่มแปลไทยจะเปิดบทความผ่าน Google Translate เพื่อแปลอัตโนมัติ โดยคงโค้ดและคำสั่งไว้ตามต้นฉบับ

AI Agents / Retrieval and evidence for agents

AI Agents: Retrieval failure taxonomy

Classify misses as ingestion, chunking, query, ranking or generation failures.

Compiled for Sorlavit Kim · Published · Updated · 1 min read

Environment and inputs: Retrieval-augmented agent workflows with lexical search, embeddings and optional reranking.

When to use it

Separate the question of finding the right evidence from the question of generating a good answer. Save the retrieved passage identifiers so a wrong result can be traced to ingestion, selection or interpretation rather than guessed from the final prose.

Check the result

Trace a wrong answer and select the failing stage before changing the prompt.

Save and compare results

Save the test input, configuration and result. Fix the failing boundary, repeat the same test and compare it with the saved working configuration.

Scope and limits

These exercises have not been tested on your systems. Check feature support and configuration names against the installed release and linked documentation.

Share this article

Back to all articles