Modernizing eDiscovery: A Huge Strategic Win for Legal Operations Executives
blog.x1discovery.comยท42m
๐Ÿ”—Data Provenance
The Great Data Awakening: Why Unstructured Data is Your Company's Hidden Goldmine
info.aiim.orgยท1d
๐Ÿ”—Data Provenance
LakeFS adds REST catalog support for data version control on structured data
lakefs.ioยท5hยท
Discuss: Hacker News
๐Ÿ”ŒArchive APIs
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.comยท3h
๐Ÿ’ปLocal LLMs
Curating art exhibitions using machine learning
arxiv.orgยท15h
๐ŸบComputational Archaeology
Join me if you can: ClickHouse vs. Databricks & Snowflake - Part 2
clickhouse.comยท19hยท
Discuss: Hacker News
๐Ÿง Query Planners
Practical tips to optimize documentation for LLMs, AI agents, and chatbots
biel.aiยท1dยท
Discuss: Hacker News
๐Ÿค–Archive Automation
Exploring High Efficiency Web Analysis Results๏ผˆ1750876031390300๏ผ‰
dev.toยท1hยท
Discuss: DEV
๐ŸŒŠStream Processing
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.comยท16hยท
Discuss: Hacker News
๐Ÿ“ฒDigitization
StrataScratch's Advanced 25 Hard SQL Questions
dev.toยท1dยท
Discuss: DEV
๐Ÿง Query Planners
Machine Learning Fundamentals: active learning
dev.toยท1dยท
Discuss: DEV
๐Ÿค–Grammar Induction
Exploring Modern Warehousing and Data Mining
dev.toยท12hยท
Discuss: DEV
๐ŸงฌPostgreSQL Forensics
CMS Survey
dev.toยท2hยท
Discuss: DEV
๐Ÿฆ‹Format Metamorphosis
Could Open Table Formats End the Reign of Snowflake and Databricks?
prequel.coยท2hยท
Discuss: Hacker News
๐Ÿ“šMARC Evolution
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)
dev.toยท1dยท
Discuss: DEV
๐ŸบZIP Archaeology
The Nature of Lisp, Code Generation and Wieldable Programming Power
pankajpipada.comยท9hยท
Discuss: Hacker News, r/programming
๐Ÿ”—Lisp
Machine Learning Fundamentals: active learning with python
dev.toยท2hยท
Discuss: DEV
๐Ÿง Machine Learning
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
arxiv.orgยท1d
๐Ÿ”คCharacter Classification
When Data Becomes a Bottleneck: Why Smart People Still Struggle to Get Answers
dev.toยท8hยท
Discuss: DEV
๐ŸŒŠStream Processing
Retrieval-Augmented Generation (RAG) System Architecture and Workflow
dev.toยท19hยท
Discuss: DEV
๐Ÿ”Information Retrieval