Customer-Support Knowledge Base Crawl Limits: Lower Index Cost, Traceable Retrieval

A DEV Community article argues that a fintech support knowledge base should use staged retrieval with explicit collections, bounded queries, and traceable sources. It recommends indexing only approved help content and attaching tenant, access, and version metadata to every document. The author suggests treating crawl boundaries as a product rule, defining owners, URL prefixes, and deletion behavior for each source. Queries should name their collection, apply metadata filters before ranking, and enforce a top-k ceiling, since large values raise indexing, reranking, and context costs. The piece includes a Go example that lists vector collections through an API, and notes that any top-k limit should be tested against representative support questions.