🔍 Retrieval Systems - micaleel · Scour

Do We Really Need “Sweatpant Jeans”? We Tried 8 Pairs So You Don't Have To ⬜Minimalism

Can agents replace the search stack? 🛠️Feature Engineering

softwaredoug.com

·3d·Hacker News

murtsu/visual_word_embeddings: Cross-lingual word embeddings trained on visual appearance alone. No tokenisation. No dictionary. Just what the word looks like. 🧮Vector Databases

github.com·1d·r/linux

Fixing What LLMs Get Wrong (22 minute read) 🛠️Feature Engineering

thebigdataguy.substack.com·4d·Substack

Deterministic retrieval recovers biomedical associations lost by language models 🧮Vector Databases

biorxiv.org·1d

Ship AI with Laravel: RAG with Embeddings and pgvector in Laravel 13 🚀Model Serving

laravel-news.com·3d

Text Is the New Binary 🛠️Feature Engineering

andreabaccega.com·4d·Hacker News

CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG 🧮Vector Databases

Today's harness is Tomorrow's Prompt 💬Natural Language Processing

tanay.co.in·5d·Hacker News

Design predictable AI performance to scale selling through Microsoft Marketplace 🛠️Feature Engineering

techcommunity.microsoft.com·1d

RAG vs. Fine-Tuning vs. Prompting: 2026 Strategic Guide 💬Natural Language Processing

endevsols.com·4d·DEV

Your AI Assistant Doesn't Understand Your Codebase. Here's the Fix That Lives Inside Your Repo. 🛠️Feature Engineering

getdraft.dev·4d·Hacker News

LLM CTF challenges. Can you crack all 13? 🚀Model Serving

wraith.sh·5d·r/OpenAI

April 26 Wikipedia featured article 🐹Go

en.wikipedia.org·5d

Protein Function Prediction with Pretrained ProtT5 Embeddings and Gradient Boosting 🤖Machine Learning

biorxiv.org·1d

Raggedy Andy stories : introducing the little rag brother of Raggedy Ann 🤖Transformers

gutenberg.org·5d

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space 👥Collaborative Filtering

'Letter Juggle' Brain Teaser 🎲Probability

braingle.com·4d

hexxla/hexxladb: A hex-native embedded database for Go. Morton keys, native ring scans, seams (contradictions), MVCC, provenance, and optional HNSW embeddings. Built from scratch for lattice-addressed memory. 📦Parquet

github.com·2d·r/golang

Evaluating complex-valued transformers based on various architectural parameters for image classification 🧮Vector Databases

sciencedirect.com·14h

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