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Knowledge Search Agent (RAG)
Answers You Can Trust—Grounded in Your Docs
Answers you can trust—grounded in your docs with citations. A RAG‑powered agent that searches across Notion, Confluence, Google Drive, SharePoint and more, returns precise answers with sources, and enforces permissions.
What We Do
- Ingestion & IndexingContinuous sync from drives, wikis, tickets; chunking and metadata for high recall.
- Secure RetrievalRow‑level ACLs so users only see what they're allowed to see.
- Grounded GenerationAnswers with citations, source previews, and confidence signals.
- Multi‑ChannelSlack/Teams, web widget, and API.
- Freshness & LifecycleSchedules, webhooks, and invalidation so answers don't go stale.
- Evaluation HarnessRegression tests, hallucination checks, and quality dashboards.
Typical Use‑Cases
- Internal SupportInternal support and onboarding knowledge
- Customer SupportCustomer support deflection with safe escalation
- Sales & SuccessSales and success FAQ with product/contract context
Why Heveli
- Privacy‑FirstPrivacy‑first and permission‑aware, with activity logs you can review
- Proven PipelinesProven content pipelines and search quality tuning
- Clear AnalyticsClear analytics: top queries, gaps, deflection rate
How We Work
- 1Source AuditSource audit and access model
- 2Indexing & TuningIndexing and retrieval tuning on golden set
- 3Channel RolloutChannel rollout with guardrails and analytics
Next Steps
- 1Share Sample DocsShare sample docs and channels
- 2Pilot DeliveryWe deliver a pilot on a focused corpus
- 3Full ExpansionExpand to full knowledge base with SLAs
