Build a Multimodal Agentic RAG

A comprehensive guide to building a multimodal agentic RAG system that processes both documents and audio files using speech input. The tutorial covers the complete workflow from data ingestion and audio transcription with AssemblyAI, to embedding storage in Milvus vector database, and orchestration with CrewAI Flows. The system allows users to query information using voice commands, with agents retrieving relevant context and generating cited responses. The implementation includes deployment using Beam for serverless containers and a Streamlit interface for user interaction.