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: 539
Venue: CIDR
Year: 2025
Pagerank: 6.6741456e-05
Overall Rank: 3,876 | 73.04%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,963	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing	2025	VLDB	9.929429e-05
5,171	Abacus: A Cost-Based Optimizer for Semantic Operator Systems	2026	VLDB	5.6464993e-05
6,217	Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System	2025	SIGMOD	5.1534752e-05
7,931	In-depth Analysis of Graph-based RAG in a Unified Framework	2025	VLDB	4.613363e-05
8,469	Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS	2025	VLDB	4.5041113e-05
9,729	Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems	2025	VLDB	4.2942813e-05
9,990	Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics	2026	CIDR	4.1945683e-05
10,064	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees	2026	SIGMOD	4.1945683e-05
10,144	Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization	2026	SIGMOD	4.1945683e-05
10,215	Task Cascades for Efficient Unstructured Data Processing	2026	SIGMOD	4.1945683e-05
10,471	Approximating Opaque Top-k Queries	2025	SIGMOD	4.1945683e-05
10,711	Cracking Vector Search Indexes	2025	VLDB	4.1945683e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
221	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00033121824
517	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00021169035
984	Natural language to SQL: Where are we today?	2020	VLDB	0.00014857465
1,082	CAESURA: Language Models as Multi-Modal Query Planners	2024	CIDR	0.00014214232
1,116	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes	2024	VLDB	0.00013890154
1,963	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing	2025	VLDB	9.929429e-05
2,517	Annotating Columns with Pre-trained Language Models	2022	SIGMOD	8.6092139e-05
3,015	Chorus: Foundation Models for Unified Data Discovery and Exploration	2024	VLDB	7.7092391e-05
3,359	Text2SQL is Not Enough: Unifying AI and Databases with TAG	2025	CIDR	7.1744146e-05

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13,134	DocDB: A Database for Unstructured Document Analysis	2025	VLDB	-
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