Who this comparison is for
AI Hub highlights
- Drop-in REST gateway, events, and usage dashboards
- KeyVault + policy moderation + audit CSV
LangChain + LangServe highlights
- Rich framework for building complex chains/tools
- Ecosystem of community integrations
Capability matrix
| Capability | AI Hub | LangChain + LangServe | Notes |
|---|---|---|---|
| Turnkey deployment (no custom infra) | Full | Partial | LangServe helps, but hosting & ops still on you |
| Built-in chat memory & ratings | Full | Manual | Implement storage/search yourself |
| Usage quotas & spend dashboards | Full | Manual | DIY metrics/limits |
| Moderation policy + audit export | Full | Manual | Add external moderation + logging |
| Jobs queue + AI.job.* events | Full | Manual | Requires worker infra |
| Provider abstraction (multi-vendor) | Full | Partial | LangChain adapters exist; ops/policies vary |
| Redis memo-cache for deterministic calls | Full | Manual | Implement caching layer |
| Web UI (Chat/Playground/Keys/Audits) | Full | None | Framework vs productized UI |
- Many teams pair LangChain apps with AI Hub as the execution & governance layer behind a single endpoint.
Total cost of ownership
LangChain accelerates custom app logic but still needs infra for quotas, audits, storage, and job orchestration. AI Hub reduces build/maintain effort by providing these primitives as a product.
Assumptions
- Multiple apps/teams consuming the same gateway
- Security requires audit & quota controls centrally
Migration plan
From LangChain · Keep chains; point execution to AI Hub as the model/embedding backend
-
1
Configure provider keys in AI Hub KeyVault
-
2
Swap model/embedding calls to AI Hub endpoints
-
3
Enable quotas & moderation; stream usage to dashboards
-
4
Optionally emit/consume AI.job.* events for long tasks
Security
- Per-workspace isolation; key scoping & rotation
- Audit CSV gated by SAML claim (audit.logs.download)
Evidence & sources
| Claim | Value | Source |
|---|---|---|
| Gateway + chat + quotas | AiService, Chat API, UsageDaily | product_docs |
About AI Hub
AI Hub centralizes generative AI for your workspace with a single, policy-aware gateway to multiple providers. Teams get a streamlined chat experience with searchable history and feedback, a minimal Query API for quick prompts, and embeddings for retrieval workflows. Operators gain visibility with usage & cost tracking, quotas, and exportable audit logs.
Choose the best model for each task, fail over between providers, and moderate inputs/outputs with block/warn/allow policies. Keys are encrypted at rest and scoped per workspace. Long-running tasks run on a background worker and broadcast events so other apps can react in real time.
Designed for safety and speed: opinionated defaults, least-privilege access, and drop-in APIs that make it easy to bring AI to every surface of Velaxe.