What is RAG?
RAG (Retrieval-Augmented Generation) allows your AI to search through custom databases of information at runtime. Instead of cramming everything into the prompt, the AI retrieves relevant content when it needs it.Creating a RAG Database
RAG databases work across all assistant types: Voice AI, Chat AI, and Web Orbs.Add Content
Upload your data — documents, text entries, FAQs, or website content. The system indexes this for semantic search.
When to Use RAG vs. Standard Knowledge Base
| Feature | Standard KB | RAG Database |
|---|---|---|
| Best for | Small, focused datasets | Large, diverse content |
| Retrieval | Full context in prompt | Semantic search at runtime |
| Token usage | Higher (always loaded) | Lower (retrieved on demand) |
| Accuracy | Very high for exact matches | High for broad topics |