[Sample] Three Common Problems When Deploying Enterprise Knowledge Q&A Agents

Summary: When building knowledge Q&A agents on internal documents, three problems appear most often: irrelevant retrieval, outdated knowledge, and unauthorized information leakage. This article gives engineering-level solutions in a problem-cause-fix format (demo sample post).

Problem 1: Retrieval Misses the Question

Cause: chunks split by fixed length lose context; users ask colloquially while documents are written formally. Fix: split by semantic sections, keep heading lineage in each chunk, and expand queries with synonyms.

Problem 2: Outdated Knowledge

Cause: documents are updated without re-indexing. Fix: index pipelines with version metadata and scheduled re-crawls; expire stale chunks automatically.

Problem 3: Information Leakage

Cause: retrieval ignores document-level permissions. Fix: enforce permission filtering at retrieval time, not at generation time, and log every answer with its sources.