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Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers
arxiv.org·14h
🌀Naiad
Operations on a B+-Tree: How the Search Works
dev.to·15h·
Discuss: DEV
🌲Btree
TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders
arxiv.org·14h
🗺️Query Planning
My Data Lake Runs on MongoDB and PostgreSQL and I’m Not Sorry
dev.to·2d·
Discuss: DEV
🌐YugabyteDB
3 Excel functions, 1 cell: How to build a "pro" dashboard engine
howtogeek.com·4d
🎯Lance
Bringing Application-Level Observability to CockroachDB: Query Tagging
cockroachlabs.com·3d
🐉DragonflyDB
Structured outputs on Amazon Bedrock: Schema-compliant AI responses
aws.amazon.com·2d
🔥DataFusion
We asked 13 rising-star VCs how they use AI. Here's what they told us.
businessinsider.com
·2d
💬Prompt Engineering
Data Agent Ready Database: Designing the Next-Gen Enterprise Data Warehouse
databend.com·5d·
Discuss: Hacker News
🗄️Database Internals
🔗 Processing 11 million rows in minutes instead of hours
yellowduck.be·1d
📊Vectorized Query Execution
Self-improving CLAUDE.md files
martinalderson.com·1d·
Discuss: Hacker News
⚛️Calvin
New MIT Framework Uses Search to Handle LLM Errors in AI Agents
hpcwire.com·3d
💬Prompt Engineering
Postgres performance at any scale
pganalyze.com·4d
🐘PostgreSQL Internals
Human-like Search for Modern Applications
anvitra.ai·1d·
Discuss: Hacker News
🎯Vector Search
Podcast: [Video Podcast] Improving Valkey with Madelyn Olson
infoq.com·8h
🔎Quickwit
I run local LLMs daily, but I'll never trust them for these tasks
xda-developers.com·3d
🦙Ollama
Why RAG Failed Us for SRE and How We Built Dynamic Memory Retrieval Instead
drdroid.io·3d·
Discuss: Hacker News
🛡️RAII
Visual data modelling in the browser (open source)
github.com·1d·
Discuss: Hacker News
📊Data Visualization
Finding the needle in the logstack: Reducing LLM context with TF-IDF
eliseomartelli.it·3d
🦙Ollama
Dynamic Views brings elegant card layouts to Bases. Displays images and text from notes. Native-feeling. Feature-rich. Endlessly customizable. Now in beta.
github.com·2d·
Discuss: r/ObsidianMD
🗂️Obsidian

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