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Ingest approved documents, enforce access boundaries, return cited answers, and measure quality before company-wide rollout.
A private RAG assistant retrieves from your knowledge base with embeddings and vector search, cites sources, refuses out-of-scope questions, and respects role-based access—designed for production, not a demo upload box.
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Employees waste time searching wikis, PDFs, and tickets. Leadership wants ChatGPT-like answers but security requires controlled data and auditability.
A structured delivery path—not vague promises.
Classify sources, permissions, and retention rules.
Ingestion, retrieval, citation UI, evaluation.
Expand corpora with update/delete workflows.
Balanced guidance—not one-size-fits-all answers.
RAG updates with documents; fine-tuning needs retraining cycles—see our AI cost guide.
Primary capability pages for this topic.
Production AI features for live mobile and web products—audits, prioritization, guardrails, and integration without breaking your release cadence.
Custom AI agents connected to your tools, APIs, and workflows—with permissions, human approval, audit trails, and cost controls.
Scoped per project—cloud vector stores or your infrastructure per requirements.
Yes—citations are a core requirement for trust.
Re-ingestion schedules and deletion workflows tied to source updates.
HIPAA requires legal and technical scoping—we do not claim blanket HIPAA certification.
RAG assistants focus on document retrieval; that solution covers broader AI feature integration.
SaaS, agencies, healthcare ops with scoped data—proof aligned to your sector.