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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.
Add production-ready AI capabilities to an existing mobile app, web platform, SaaS product, or internal system without rebuilding the entire product. We integrate intelligent search, assistants, automation, recommendations, document intelligence, and AI agents with your current architecture, data, APIs, authentication, and workflows.
Production AI agents connected to your business tools, APIs, and approval workflows—with permissions, audit trails, cost controls, and human checkpoints.
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.
No. RAG reduces unsupported answers by grounding in approved sources, but evaluation, refusal rules, and human review are still required.
RAG updates when documents change; fine-tuning needs retraining cycles and maintenance—see our AI cost and comparison resources.
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.