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⏳ Temporal Databases

Versioned Data, Historical Queries, Archive Timelines, Bi-temporal Models

Real-time AI Unleashed: The Power of Time-Series and Vector Database Synergy
dev.to·1d·
Discuss: DEV
📈Time Series
Introduction to the Fundamentals of Amazon Redshift
redshift-observatory.ch·10h
🗃️Database Storage
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·23h·
Discuss: Hacker News
🔍Information Retrieval
Improving Weakly Supervised Temporal Action Localization by Exploiting Multi-resolution Information in Temporal Domain
arxiv.org·1d
📊Learned Metrics
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·5h
📊Graph Databases
Beyond Theory – Interview with Jill Delaney by Juan Alonso
ica.org·3h
🏛️PREMIS
AppBITS: Sorted Seems Moribund
tidbits.com·3h
🔃Feed Algorithms
Could Open Table Formats End the Reign of Snowflake and Databricks?
prequel.co·1h·
Discuss: Hacker News
📚MARC Evolution
Agentic AI: Implementing Long-Term Memory
towardsdatascience.com·23h
💾Persistence Strategies
TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows
arxiv.org·1d
🔄Schema Evolution
Program Execution, follow-up
windowsir.blogspot.com·7h·
Discuss: www.blogger.com
⚡Performance Tools
5 huge stumbling blocks to legacy mainframe EOL
techradar.com·12h
🏛️Mainframe Archaeology
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
Database Relationships Explained: From Theory to Rails Implementation From Core Concepts to Building Robust Rails Applications
blog.codeminer42.com·1d
🗄️Database Internals
Deep Dive into Databend UDF, implementing your data solutions with Python, WASM
databend.com·5h·
Discuss: Hacker News
📋DFDL
Single Core Hundred Thousand Concurrency(1750866547511600)
dev.to·3h·
Discuss: DEV
🌊Stream Processing
Why Agentic Flows Need Distributed-Systems Discipline
temporal.io·1d·
Discuss: Hacker News
⚙️TLA+
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.com·3h
💻Local LLMs
A Complete Guide to Retrieval-Augmented Generation
dev.to·2d·
Discuss: DEV
🌀Brotli Internals
Why Dyad?: A Perspective for Modelica Users
juliahub.com·4h·
Discuss: Hacker News
💧Liquid Types
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