Vector DBs

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Postgres 19 Beta 1 is here

 🗄️Databases
postgresweekly.com·

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

 🗄️Databases  Content type: Blog
pingcap.com·

| Amine Raji, PhD

 🌐Distributed Systems
aminrj.com·

Predictive Processing: Conscious when Training

 🧠Computational Neuroscience
lesswrong.com·

Thirty-five AI comedians walked into a workshop, and what happened next could reshape how machines learn humor

 🧠Computational Neuroscience
techxplore.com·

Rayforce

 💾Storage Engines  Content type: Code

New comment by HorizonFlowLive in "Ask HN: Who wants to be hired? (June 2026)"

 🗄️Databases  Content type: Discussion

Random Thoughts on Saying Good-bye to Our First House

 📊Columnar Storage
grownandflown.com·

The AI Agents Stack (2026 Edition)

 🗄️Databases  Content type: Blog
oreilly.com·

Ex-DeepMind duo raise $20 million to close the gap between what sales teams know and what they actually do

 💾Flash Storage
thenextweb.com·

Microsoft’s Web IQ aims to give enterprise AI agents real-time web intelligence

 🤖Machine Learning
infoworld.com·

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

 🔍Query Engines
buy.polar.sh··DEV

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🔍Query Engines  Content type: Blog  Content type: Discussion
tildalice.io·

Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors

 💻Computer Science  Content type: Academic
arxiv.org·

a shared format for agent memory

 🗄️Databases

Tiger Data launches PostgreSQL extension designed for AI agents

 🗄️Databases
siliconangle.com·

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

 🔍Query Engines  Content type: Code
github.com··DEV

Synology DSM 7.4 – The Good, the Bad and the AI (DSM 8.0 Lite?)

 💾Flash Storage
nascompares.com·

New comment by lauuuer in "Ask HN: Who wants to be hired? (June 2026)"

 🗄️Databases  Content type: Discussion

Best practices for building a modern app with vector search

 🔍Query Engines  Content type: Blog
elastic.co·
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