2. What it is
Knowledge Pages are authored, page-type knowledge sources with a dedicated editor. They are best for long-form content where structure and narrative context improve answer quality.
Knowledge Pages
Use rich-text pages for structured explanations, policies, and procedural guidance where depth and context matter.
Knowledge Pages provide a dedicated rich-text editor for long-form support articles and structured documentation that the AI assistant can retrieve in context. The editor supports inline formatting, headings, and structured layouts so teams can author comprehensive guides without leaving the platform. Save protection ensures that in-progress edits are never accidentally lost.
Write and format full-length articles with a purpose-built editor that supports headings, lists, and inline formatting.
Unsaved changes are protected with confirmation prompts so teams never lose work during the authoring process.
The page format is optimized for multi-paragraph explanations, procedures, and guides that require narrative depth.
Each page is indexed as a page-type source with chunk counts, retrieval counts, and active/inactive status control visible directly in the list view. Teams can see at a glance which pages are actively being retrieved and how many chunks each page generates. Created and updated timestamps make it easy to identify stale content that needs review.
Pages are automatically split into retrieval-optimized chunks and indexed alongside other knowledge types in the same pipeline.
Toggle pages active or inactive to control whether they participate in retrieval without needing to delete and recreate content.
Track when each page was authored and last modified so teams can prioritize review of older, potentially outdated content.
When content changes, pages are automatically re-embedded so retrieval stays aligned to the latest published version. Content hashing detects whether the text actually changed, avoiding unnecessary re-embedding when only metadata is updated. This keeps the knowledge base current without manual intervention while minimizing compute overhead for minor edits.
A hash comparison determines whether page text actually changed, preventing wasteful re-embedding on metadata-only saves.
When content does change, new embeddings are generated automatically so the assistant immediately retrieves the latest version.
Saves that only affect title or status skip the embedding pipeline entirely, making routine maintenance fast and efficient.
Knowledge Pages are authored, page-type knowledge sources with a dedicated editor. They are best for long-form content where structure and narrative context improve answer quality.
Use this matrix to choose the right knowledge option for each support intent.
| Intent | Best option | Why | Link |
|---|---|---|---|
| Exact policy wording | Custom Answers | Deterministic response for high-risk phrasing. | /custom-answers |
| Short operational facts | Snippets | Fast to publish and update. | /snippets |
| Multi-step guides | Knowledge Pages | Better for long-form structure and context. | /knowledge-pages |
| Synced external docs | Knowledge Sources | Best for URL crawl and document ingestion workflows. | /knowledge-sources |
| Baseline product framing | Product Profile | Keeps answers aligned with core positioning. | /product-profile |
| Operational constraints and fallback rules | Assistant Contexts | Adds scoped behavioral context without rewriting docs. | /assistant-contexts |
FAQ
Use Knowledge Pages for long, structured explainers. Use Snippets for short factual blocks that change frequently. Learn more
Yes. Pages support active/inactive toggles so you can temporarily remove them from retrieval. Learn more
Content changes trigger re-embedding so retrieval uses the updated version; metadata-only changes avoid full re-embedding. Learn more
Unify grounded AI, web and WhatsApp coverage, human handoff, and conversation analytics without stitching together separate tools.