Retrieval-Augmented Generation (RAG): Powering Contextual Business AI

# Retrieval-Augmented Generation (RAG) Architecture Generic AI models hallucinate pricing and details. RAG connects LLMs to your exact business documents and PostgreSQL vector database. ## How RAG Works: 1. **Document Embeddings**: Convert PDF files and website text into mathematical vector embeddings. 2. **Similarity Search**: When a customer asks a question, retrieve the top 3 relevant text chunks in 15ms. 3. **Grounded AI Response**: OpenAI generates an answer strictly constrained by your retrieved text.