Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
Introduction to the Fundamentals of Amazon Redshift
redshift-observatory.ch·6h
🗃️Database Storage
Game-Changing Search Is Here Aether CMS Just Got Smarter
lebcit.github.io·1d·
Discuss: Hacker News
🔗Online Curation
derived set
ncatlab.org·6m
🧮Algebraic Archives
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·59m
📊Graph Databases
Understanding Sorting Algorithms: From Basics to Advanced Concepts
dev.to·1d·
Discuss: DEV
🌳Trie Structures
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·14h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·19h·
Discuss: Hacker News
🔍Information Retrieval
The Interactive Handbook on Data Structures and Algorithms
cartesian.app·1d·
Discuss: Lobsters, Hacker News, Hacker News
🌳Trie Structures
Dual-Hierarchy Labelling: Scaling Up Distance Queries on Dynamic Road Networks
arxiv.org·1d
📏Range Queries
New: Improve Apache Iceberg query performance in Amazon S3 with sort and z-order compaction
aws.amazon.com·18h
🔄Burrows-Wheeler
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)
dev.to·1d·
Discuss: DEV
🏺ZIP Archaeology
Is SPL more difficult or easier than SQL?
github.com·6h·
Discuss: Hacker News
⛏️SQL Archaeology
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
arxiv.org·2d
🔍Proximity Search
StrataScratch's Advanced 25 Hard SQL Questions
dev.to·1d·
Discuss: DEV
🧠Query Planners
Ask HN: Feedback on "QSS" – A Quantized Vector Search Engine in C
news.ycombinator.com·1d·
Discuss: Hacker News
🗂️Vector Databases
No pre-filtering in pgvector means reduced ANN recall
dev.to·22h·
Discuss: DEV
🗂️Vector Databases
Machine Learning Fundamentals: active learning
dev.to·22h·
Discuss: DEV
🤖Grammar Induction
Regular Tree Search for Simulation Optimization
arxiv.org·1d
🌲B-tree Variants
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
arxiv.org·1d
🔍Information Retrieval