Build intelligent voice agents that can answer questions from your documents, manuals, FAQs, and knowledge bases.
RAG (Retrieval-Augmented Generation) allows your voice agent to search through your uploaded documents and use that information to answer caller questions accurately. Instead of making up answers, the AI references your actual content.
Example: Upload your product catalog, and callers can ask "How much does the Pro plan cost?" - the agent will find and quote the exact price from your documents.
Up to 100GB of documents per agent
PDF, DOC, TXT, CSV, JSON, HTML, Markdown, Excel
Hybrid semantic + keyword search for best results
~2-3 second response times with RAG
Select "Grok" as the LLM model when creating your agent.
After creation, you'll be taken to the document upload screen. Upload your PDFs, manuals, FAQs, etc.
Documents are automatically indexed and searchable by the AI.
When someone calls, the agent searches your documents and responds with real information.
| Setting | Value | Description |
|---|---|---|
| Context Window | ~100,000 characters | Amount of document content used per call (~60 pages) |
| Search Results | 30 chunks | Number of relevant sections retrieved |
| Search Type | Hybrid | Combines semantic understanding + keyword matching |
| Storage Limit | 100GB | Maximum documents per agent |
Upload support docs, troubleshooting guides, return policies
Office hours, services offered, insurance info, appointment policies
Property listings, pricing, amenities, availability
Service descriptions, consultation info, practice areas
Course catalogs, schedules, enrollment info, campus details
Product specs, pricing, shipping info, return policies
Grok RAG is not available for healthcare accounts due to HIPAA compliance requirements. Healthcare users should use our HIPAA-compliant Azure-based voice agents instead.