How to Scale LLM Apps Without Exploding Your Cloud Bill
hackernoon.com·1d
📄Text Chunking
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Complex networks-based anomaly detection for financial transactions in anti-money laundering
sciencedirect.com·6h
🔍Vector Forensics
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Introducing Query groups in Search Console Insights
developers.google.com·1d
🧠Query Planners
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From Questions to Queries: An AI-powered Multi-Agent Framework for Spatial Text-to-SQL
arxiv.org·1d
🔶Voronoi Diagrams
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Architecting Multi-System Production Platform: Event Processing Driving $400M+ Across 15,000+ Orgs
engineering.salesforce.com·4h
🌊Streaming Systems
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In Search of Better Search
cacm.acm.org·5h
🤖AI Curation
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Text2SQL is dead – long live text2SQL
🚚Data Migration
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Indexing Coffee with Notion
☕Coffee Science
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Vulnerability Management – Process Perspective
blog.nviso.eu·11h
🔐Capability Systems
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Hyperloglog: Counting Without Counting
📊HyperLogLog
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Building a Monitoring System That Actually Works
towardsdatascience.com·1d
👁️Observatory Systems
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Becoming Frontier: How human ambition and AI-first differentiation are helping Microsoft customers go further with AI
blogs.microsoft.com·3h
🏠Homelab Orchestration
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Using DynamoDB Secondary Indexes
🗄️Database Internals
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Five LLM Tricks for Data Pipelines
🔗Constraint Handling
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We built a vector search engine that lets you choose precision at query time
🌳Trie Structures
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How AI Search Solves the Problem of Working with Unstructured Data
👤Search Personalization
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