support_agent
Customer Support
Resolve complex inquiries by referencing your product documentation and internal knowledge bases — grounded answers, every time, zero hallucinations.
Customer AI Experience
deployed_codeBuilt on Corvis Agentic SDK
Client-Facing AI Chat, Engineered for Truth.
that pull directly from your proprietary data. Eliminate hallucinations and deliver precise, authoritative answers to your customers instantly.
How It Works
Every answer grounded in your data.
Our RAG architecture ensures every response is strictly tethered to your verified data context — no hallucinations, full traceability.
RAG Query PipelineActive
person
“How do I reset my password for the enterprise portal?”
searchQuerying vector store…
auth_docs_v2.pdfclient_x_specs.mdportal_guide.md
smart_toy
Based on the portal guide and authentication docs, navigate to Settings → Security → Reset Password. Use your corporate email — a reset link will be sent within 2 minutes.
Architecture
Retrieval-Augmented Generation, built for enterprise.
Connect your proprietary knowledge bases, product documentation, and CRM data. Our vector indexing pipeline keeps your agent grounded in real-time information — with every response citing its exact source.
Step 01 — Ingest
Connect PDFs, Confluence, SharePoint, databases, or any custom data source to the Corvis vector pipeline.
Step 02 — Index
Documents are chunked, embedded, and stored in a high-performance vector store with automatic refresh on change.
Step 03 — Retrieve
When a user query arrives, the most semantically relevant chunks are retrieved in milliseconds.
Step 04 — Respond
The LLM synthesizes a grounded answer using only the retrieved context — and cites every source.
Precision Applications
Where grounded AI drives measurable impact.
search_insights
Data Retrieval
Allow enterprise clients to query large datasets naturally. The agent synthesizes information into structured, actionable responses with source citations.
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User Engagement
Deploy guided conversational interfaces that assist users in navigating complex platforms or workflows — without opening a single ticket.
Ready to deploy your first RAG chat agent?
Our team will help you connect your data sources and go live in days, not months.