TEmBed benchmark shows that the best tabular embedding model depends on the specific task and the representation level (cell, row, column, or table).
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3 Pith papers cite this work. Polarity classification is still indexing.
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Blue DIL is a new architecture that unifies structured enterprise data, LLM world knowledge, and personal context through declarative query plans and agents for multi-source multi-modal applications.
Pneuma-Seeker is an agentic system that reifies underspecified information needs on relational data into explicit relational specifications for iterative refinement, targeted discovery, and provenance-aware execution.
citing papers explorer
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Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks
TEmBed benchmark shows that the best tabular embedding model depends on the specific task and the representation level (cell, row, column, or table).
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Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications
Blue DIL is a new architecture that unifies structured enterprise data, LLM world knowledge, and personal context through declarative query plans and agents for multi-source multi-modal applications.
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Demonstration of Pneuma-Seeker: Agentic System for Reifying and Fulfilling Information Needs on Tabular Data
Pneuma-Seeker is an agentic system that reifies underspecified information needs on relational data into explicit relational specifications for iterative refinement, targeted discovery, and provenance-aware execution.