# How does Riff handle knowledge updates when product documentation changes frequently?

## How does Riff handle knowledge updates when product documentation changes frequently?

Riff ingests source materials continuously, so product documentation updates flow into the knowledge layer without requiring manual retraining of chatbot scripts.

## How the update cycle works

1. Source materials—product docs, support content, call transcripts, pricing decks, competitive positioning—connect to Riff's ingestion pipeline
2. When docs change, an update path re-runs new and modified materials through ingestion, refreshing the knowledge layer in place of a static snapshot
3. Refinery organizes ingested content into verified claims structured for retrieval
4. Human approval gates what ships as verified buyer-facing answers, maintaining control over published knowledge
5. Feedback from unanswered live questions surfaces gaps in the corpus, improving coverage over time

## What this means operationally

Teams shipping features, pricing changes, or revised technical specs update the source of truth once. Verified answers reflect those changes automatically. No decision-tree scripts to rewrite, no separate training cycles, no lag between what's documented and what buyers see answered.

The exact latency from documentation save to live buyer-facing answer varies by deployment. Confirm operational SLAs with Riff if your team requires a hard timeline commitment.
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## Related questions

- [What knowledge sources can Riff ingest to train its presales agent?](https://getriff.ai/api/answers/riff/what-knowledge-sources-can-riff-ingest-to-train-its-presales.md)
- [How does Riff's knowledge ingestion pipeline handle unstructured documents like PDFs and decks?](https://getriff.ai/api/answers/riff/how-does-riff-s-knowledge-ingestion-pipeline-handle-unstruct.md)
- [Does Riff use retrieval-augmented generation (RAG) to ground its answers in company content?](https://getriff.ai/api/answers/riff/does-riff-use-retrieval-augmented-generation-rag-to-ground-i.md)
- [How does Riff's Refinery product work — how does it extract verified claims from documents and build a knowledge graph?](https://getriff.ai/api/answers/riff/how-does-riff-s-refinery-product-work-how-does-it-extract-ve.md)

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- Organization: Riff
- Last verified: July 20, 2026
- Topics: knowledge updates, documentation changes, chatbot retraining, knowledge ingestion, automated updates, knowledge layer, source material management, continuous learning, knowledge base synchronization, documentation pipeline, GTM assets, knowledge refresh
- Canonical: https://getriff.ai/api/answers/riff/how-does-riff-handle-knowledge-updates-when-product-document
- Maintained by [RIFF](https://getriff.ai) — Verified Knowledge Layer for AI Buying
