Who this comparison is for
Knowledge Base / FAQ highlights
- Embeddable widget with hybrid search & locale routing
- Optional grounded answer synthesis with citations
Intercom Articles highlights
- Native Intercom Messenger integration & bots
Capability matrix
Capability | Knowledge Base / FAQ | Intercom Articles | Notes |
---|---|---|---|
Semantic vectors + re-ranking | Full | Partial | Velaxe K-NN + heap re-rank |
Embeddable widget (non-Intercom sites) | Full | Partial | Intercom-first vs neutral |
Locale-aware suggestions | Full | Full | Routing by locale |
Slack capture to drafts | Native | Via Zapier | — |
Answer synthesis with citations | Full | Partial | Grounded with sources |
Bulk import/export | Full | Partial | Validation on import |
- Chat automation/bots are out-of-scope; focus is knowledge retrieval.
Total cost of ownership
If you already use Intercom, Velaxe KB/FAQ adds stronger retrieval and governance without changing your chat stack.
Assumptions
- Chat remains on Intercom; KB moves to Velaxe
- ≥ 1k articles across 3+ locales
Migration plan
From Intercom Articles · Export → Map → Import drafts → Embed Velaxe widget
-
1
Export Articles; convert blocks to Markdown/HTML
-
2
Map collections→tags & locales
-
3
Publish; embed Velaxe widget in Messenger surfaces
Security
- RBAC with AccessGuard; audit telemetry on search
- Export/deletion supported; no card/PHI data
Evidence & sources
Claim | Value | Source |
---|---|---|
Widget + hybrid retrieval | Locale-aware, vector-backed widget | product_docs |
About Knowledge Base / FAQ
Knowledge Base / FAQ is an enterprise-grade knowledge system for teams to author rich articles, attach images/videos/files, tag them for easy discovery, and localize content by locale. Users get instant answers via hybrid search: classic full-text (FTS) plus semantic vector retrieval with embeddings.
Editors benefit from autosave, clean Markdown/HTML authoring, tag chips, and attachment management. Ops can choose the embedding model and enable a nightly drift job that re-embeds older content as models improve—keeping search results fresh and accurate.
The app is workspace-native, so your data lives with your workspace, behind Velaxe RBAC and audit logs.