RAG Query Flow
How RAG queries work — embedding the user query, pgvector cosine search against unified_rag_content, theological lens filtering, and injecting results into LLM context
How RAG queries work — embedding the user query, pgvector cosine search against unified_rag_content, theological lens filtering, and injecting results into LLM context
Product overview for SermonWise AI ($19.95/mo) — AI-powered sermon preparation tools served at sermonwise.ai via hostname rewrite from churchwiseai-web's /sermons route
How voice agent system prompts are built from pure functions in prompts.py — church data injection, theological lens application, HEAR protocol, and runtime context assembly