Demonstration of Pneuma-Seeker: Agentic System for Reifying and Fulfilling Information Needs on Tabular Data

1. 1Install Pneuma-Seeker using the provided arXiv implementation
2. 2Load a sample tabular dataset to test the system's capabilities
3. 3Define an initial information need using Pneuma-Seeker's interface
4. 4Iteratively refine the information need using the system's refinement mechanisms
5. 5Execute the refined query and analyze the results with provenance-aware execution

Data analysts and scientists can benefit from Pneuma-Seeker to streamline their workflow and improve data discovery, while data engineers can use it to optimize data pipelines

💡 Pneuma-Seeker enables data analysts to iteratively refine their information needs and execute targeted data discovery with provenance-aware execution

📊 Introducing Pneuma-Seeker: an agentic system for refining information needs on tabular data! 🚀