Build a Hybrid CSV Intelligence Agent with RAG, Pandas, and LLM Judge

In this tutorial, we will build a Hybrid CSV Intelligence Agent that allows you to chat with a CSV file using AI. When you ask a question, the system uses two methods — the Pandas Agent and the RAG Pipeline to generate the best possible answer. The AI (LLM) then compares both answers and selects the one that provides the most accurate and relevant response to your question. You ask a question → both methods try to answer → the AI selects the best result. This makes the assistant accurate for numeric/data queries and smart for descriptive ones. Google Colab Code: https://colab.research.google…