RAG Search makes every document in your organization instantly searchable by AI. Upload call scripts, policy PDFs, training manuals, escalation guides, and SOPs — then ask any question in plain English and get the exact answer back in under 50ms. No hallucinations: answers come from your actual documents.
Building RAG yourself: agency quotes range $19,000–$48,000. Our bundled version is included at no extra charge on any paid plan.
This RAG Search product guide covers the AI document search engine that makes any company document instantly searchable in under 50 milliseconds. Document types supported include call scripts and opening spiels, escalation guides and decision trees, HR policy PDFs and employee handbooks, FAQ documents and knowledge bases, agent training manuals, SOP documents and compliance guides, legal and regulatory reference documents, and product catalogs. The engine uses Voyage AI voyage-large-2 1,536-dimensional embeddings stored in a Supabase PostgreSQL HNSW vector index via pgvector. Every answer cites the source file and section so supervisors can verify against the original document. Search and responses work across all 30 supported languages. The RAG Search Engine is bundled free (up to 1 GB corpus, 1,000 queries per month) with all paid CONNECT, AIVA, and Maya plans. Standalone hosting for RAG without other products starts at $59 per month. Building an equivalent RAG system through an agency typically costs $19,000–$48,000.