DocDB: A Database for Unstructured Document Analysis
Summary: DocDB targets LLM extraction bottlenecks with a two-level index that retrieves only relevant text segments, reducing costly attribute extractions. It adds adaptive per-document planning to minimize LLM invocations and enable low-cost SQL-like analysis of unstructured documents. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Zequn Li
- 2. Yuanhao Zhong
- 3. Chengliang Chai
- 4. Zhaoze Sun
- 5. Yuhao Deng
- 6. Ye Yuan
- 7. Guoren Wang
- 8. Lei Cao
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| Rank | Cited Paper | Year | Venue | Pagerank |
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| 2,106 | Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing | 2025 | CIDR | 9.5342543e-05 |
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