Auto-Retrain Scheduler: Always Fresh, Never Stale
Scheduled automatic retraining keeps your knowledge base current.
The Knowledge Staleness Problem
❌ Without Auto-Retrain:
- • Knowledge gets outdated quickly
- • Manual retraining is time-consuming
- • Feedback corrections get ignored
- • Accuracy degrades over time
✓ With RAG Engine Auto-Retrain:
- • Always synced with sources
- • Zero manual maintenance
- • Learns from every correction
- • Accuracy improves continuously
Retrain Triggers
Multiple ways to keep your knowledge fresh
User Feedback
Negative feedback triggers review and improvement
Source Changes
Connected data sources sync automatically
Time Schedule
Daily, weekly, or custom schedules
Manual Trigger
On-demand retraining via API or dashboard
How Auto-Retrain Works
Intelligent, hands-off knowledge management
Feedback Learning
Automatically learn from thumbs up/down and corrections to improve accuracy.
Scheduled Sync
Keep your knowledge base fresh with automatic reindexing on your schedule.
Incremental Updates
Only process what changed - no need to rebuild from scratch.
Quality Validation
Automatic testing ensures updates don't degrade performance.
Perfect For
Living Documentation
Keep AI answers in sync with changing docs.
Continuous Improvement
Get better from every interaction.
Fresh Knowledge
Never serve stale or outdated answers.
Hands-Off Scaling
Grow without manual maintenance.
Auto-Retrain Capabilities
Only platform with automatic knowledge updates
| Feature | RAG Engine | LangChain | LlamaIndex | Pinecone |
|---|---|---|---|---|
| Automatic retraining | ✓ | ✗ | ✗ | ✗ |
| Feedback-based learning | ✓ | ✗ | ✗ | ✗ |
| Incremental updates | ✓ | ~ | ~ | ~ |
| Quality validation | ✓ | ✗ | ✗ | ✗ |
| Zero-downtime updates | ✓ | ✗ | ✗ | ✓ |
Works Great With
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