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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
clarvo.ai·1d·
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🗄️databases
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Harness the Power of Atlas Search and Vector Search with $RankFusion
mongodb.com·7h·
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🗄️databases
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Building our geospatial database in production
radar.com·1d·
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How to Optimize for AI Search
terezatizkova.substack.com·4h·
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Text to SQL: Local, Secure, and Smarter
exasol.com·1d·
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Beyond the Medallion: Rethinking Data Architecture
blog.matterbeam.com·4h·
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⚙️systems programming
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Benchmarking the Most Reliable Document Parsing API
tensorlake.ai·4h·
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🗄️databases
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Happy Eyeballs Version 3: Better Connectivity Using Concurrency
datatracker.ietf.org·18h·
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🌐network programming
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Read more
yugabyte.com·2d·
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Improving agent with semantic search Semantic search significantly improves coding agent performance with 12.5% higher accuracy, improves code retention and dec...
cursor.com·23h·
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⚙️systems programming
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Bloom filters are good for search that does not scale
notpeerreviewed.com·3d·
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Google's MCP Toolbox for Databases: A Technical Deep Dive for Engineering Teams
agnost.ai·1h·
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American Wind Farms
tech.marksblogg.com·16h·
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The Case Against PGVector
alex-jacobs.com·3d·
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Myers Diff for Tab Management: Part 2
deontevanterpool.com·22h·
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⚙️systems programming
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Tiny GenBI: Lightweight Agent for business analysis
github.com·1d·
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PostgreSQL 18 – Virtual Generated Columns
hashrocket.com·1d·
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Lessons from Implementing RAG in 2025
truestate.io·1d·
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The Complexity Cliff: Why Reasoning Models Work Right Up Until They Don't
rewire.it·23h·
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✅formal methods
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Lowering in Reverse
buttondown.com·3d·
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✅formal methods
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