Agentic RAG Framework Boosts Time Series Analysis with Modular Design
A team of researchers from IIT Dharwad and TCS Research has proposed an innovative framework for time series analysis called Agentic Retrieval-Augmented Generation (RAG). This modular approach utilizes a hierarchical, multi-agent architecture to enhance flexibility and accuracy in handling complex time series tasks. The framework consists of a master agent that orchestrates specialized sub-agents, each … Read more