Integrate OpenAI Chatbot with Business Data Using Peliqan for RAG and SQL Queries

This workflow is designed to enhance business data interaction through a chatbot that uses Retrieval-Augmented Generation (RAG) and SQL queries. Peliqan acts as a data cache, syncing business data into a data warehouse for fast access. The workflow writes source data to Supabase as a vector store for RAG searches, while SQL queries are executed via Peliqan to handle analytical questions. The AI Agent intelligently decides whether to use RAG, SQL, or both, based on the nature of the user's query.