DBScholar

Back to papers

The Design of an LLM-powered Unstructured Analytics System

Summary: Aryn compiles NL queries into semantic plans executed by Sycamore, a distributed declarative engine exposing DocSets to analyze, enrich, and transform large unstructured document collections. Luna (NL→Sycamore) and DocParse (PDF→DocSet) improve accuracy over RAG on NTSB reports and surface explainable execution traces to build trust. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
538
Venue
CIDR
Year
2025
Pagerank
7.9203461e-05
Overall Rank
2,956 | 79.73%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{anderson_cidr25,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '25},
        title = {{The Design of an LLM-powered Unstructured Analytics System}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Anderson, Eric and Fritz, Jonathan and Lee, Austin and Li, Bohou and Lindblad, Mark and Lindeman, Henry and Meyer, Alex and Parmar, Parthkumar and Ranade, Tanvi and Shah, Mehul A. and Sowell, Benjamin and Tecuci, Dan and Thapliyal, Vinayak and Welsh, Matt},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers