🧠 Learned Indexes

ML-assisted Data Structures, Neural Networks, B-tree Replacement, Database Optimization

WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search
arxiv.org·1d
🗂️Vector Databases
Compilation vs. vectorization, search engine edition
jpountz.github.io·56m·
Discuss: Hacker News
🚀Query Optimization
7 Beginner Machine Learning Projects To Complete This Weekend
kdnuggets.com·2h
🧠Machine Learning
A 20-Year-Old Algorithm Can Help Us Understand Transformer Embeddings
ai.stanford.edu·20h·
Discuss: Hacker News
🧮Vector Embeddings
Make Your Website Conversational for People and Agents with NLWeb and AutoRAG
blog.cloudflare.com·41m
📡RSS Automation
Memorization in Graph Neural Networks
arxiv.org·10h
🕸️Graph Embeddings
Show HN: Vectorless RAG
github.com·1d·
Discuss: Hacker News
📊Multi-vector RAG
Learning ON Large Datasets Using Bit-String Trees
arxiv.org·2d
🗂️Vector Databases
How Retrieval Algorithms Shape Better LLM Responses?
dev.to·2d·
Discuss: DEV
🔍Information Retrieval
Show HN: I built AI that turns 4 hours of financial analysis into 30 seconds
duebase.com·7h·
Discuss: Hacker News
🔍BitFunnel
Making Operations Research More Accessible: Insights from the Rise of ML
pubsonline.informs.org·8h·
Discuss: Hacker News
🧠Machine Learning
The Math Behind GANs
jaketae.github.io·2h·
Discuss: Hacker News
🎯Arithmetic Coding Theory
What the interns have wrought, 2025 edition
blog.janestreet.com·1d·
Discuss: Lobsters, Hacker News
🦀Rusty Databases
Show HN: Auto-Match – How We Built Receipt-to-Transaction Matching (Open Source)
midday.ai·1d·
Discuss: Hacker News
🔤EBCDIC Mining
Logistic vs SVM vs Random Forest: Which One Wins for Small Datasets?
machinelearningmastery.com·3d
🧠Machine Learning
How AI Works – A Primer
publish.obsidian.md·1h·
Discuss: Hacker News
🤖AI Curation
Apparently it's easy to detect LLM-generated text now
papers.ssrn.com·20h·
Discuss: Hacker News
🔍Information Retrieval
k-NN Classification and Model Evaluation
dev.to·2d·
Discuss: DEV
🧠Machine Learning
Reinforcement Learning for Search Tree Size Minimization in Constraint Programming: New Results on Scheduling Benchmarks
arxiv.org·10h
🔗Constraint Handling
Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies)
arxiv.org·10h
🤖Grammar Induction