Knowledge & RAG
Crawl public or authenticated docs sites with depth and pacing controls so marketing and developer portals feed the same RAG pipeline as uploads.
Crawling turns already-published HTML into retrieval segments without asking authors to paste into a second CMS. That matters for developer docs and marketing help centers where Git or static generators are the source of truth. FlexyAgents crawls with depth caps, polite delays, and robots awareness so you do not DOS your own site.
This article covers when crawl beats manual upload, how to combine crawl with connectors, and governance for authenticated or VPN-only portals.
If your team ships docs from a static site generator or headless CMS, crawl keeps RAG aligned with production URLs automatically. Uploads are better for PDFs legal only distributes as files.
Campaign microsites and seasonal FAQs benefit from crawl when engineering time for a formal connector is not justified.
Avoid crawling duplicate locales twice unless you need separate indexes per language; dedupe strategies save embedding cost.
Depth and breadth limits prevent runaway jobs from following every external link. Include lists of allowed hosts and path prefixes.
Schedule crawls during low-traffic windows for fragile origin servers; backoff on HTTP errors.
Strip chrome—navigation, footers—when possible so chunks focus on article bodies.
VPN or SSO-protected docs may still be crawlable with the right network path and credentials; coordinate with IT rather than storing passwords in spreadsheets.
Treat authenticated content as higher sensitivity: tighter base scopes and stricter agent assignments.
Log crawl start and end times for audits when customers ask how often knowledge refreshes.
If the same article exists in Zendesk and on a public URL, decide which is canonical for retrieval to avoid two conflicting chunks ranking high.
Use Q&A to override crawled pages when legal needs exact wording that HTML editors might break.
Version major doc releases with separate agents or bases when customers on old APIs still need frozen answers.
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More from the blog—starting with the same category as this piece.
Sync docs, tickets, and commerce data so your knowledge base chatbot and AI FAQ for help centers answer from real content—not guesses.
Read articleWhat retrieval-augmented generation means in practice: chunking, semantic search, and why grounded answers reduce hallucinations in customer chat.
Read articleHow connector sync keeps helpdesk and wiki content fresh inside the same retrieval index your FlexyAgents assistants use.
Read articleNext step
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