The article discusses a case study in enterprise document intelligence where a single document type contains a million files. It outlines a workflow that takes about an hour with two people to extract six to ten structured fields, emphasizing the importance of identifying two key signals that distinguish a valid column from one that could break a filter later. The focus is on converting unstructured documents into a structured SQL table for Retrieval-Augmented Generation (RAG) queries.
By Angela and Kezhan Shi
arXiv:2608. 08639v1 Announce Type: new Abstract: Open lakehouse table formats accumulate small data files over time, which degrades query performance.
By Jannic Cutura, Subash Prakash
arXiv:2608. 16309v1 Announce Type: cross Abstract: Static pruning is widely used to accelerate sparse neural retrieval, yet existing studies each validate their conclusions within a single custom pipeline, leaving it unclear which findings transfer to modern engines with different index organizations and dynamic pruning mechanisms.
By Zirui Song, Yuye Zhu, Yang Yang
arXiv:2607. 11942v1 Announce Type: cross Abstract: KV-cache compression methods are predominantly evaluated with the query appended to the context before compression -- a query-aware protocol.
By Daming Luo, Christy Liang, Junyu Xuan
Increasing context size in RAG systems doesn’t improve accuracy for aggregation tasks—it makes errors harder to detect. In this article, I benchmark retrieval-based pipelines against a deterministic full-scan engine across 100,000 rows and show why computation queries must be routed away from RAG entirely.
By Emmimal P Alexander
Konstantin Ryabitsev highlights the growing problem of abusive web crawlers that consume excessive CPU resources on git.kernel.org, the official Git repository for the Linux kernel. He notes that at any given moment, 14 CPU cores across five geo‑distributed nodes are dedicated solely to rendering git commits as HTML for these scrapers, surpassing the CPU usage for all legitimate access such as git clones. This issue raises concerns for services like Datasette, which also serve large numbers of crawlable web pages.