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I made my C++ vector search engine 16x faster by changing data layout, not the algorithm  🧮Vector Databases
dubeykartikay.com·5d·Hacker News, r/cpp, r/programming
Show HN: Axiom v2.0 – Parallel Ingestion at 125M rows/SEC  🌀Naiad
news.ycombinator.com·2d·Hacker News
Building an AI-Augmented News Intelligence Pipeline with Kafka, Delta Lake, and LLMs  💧Kafka Streams
dev.to·23h·DEV
What it takes to transpose a matrix (2024)  🎴SIMD Shuffles
gudok.xyz·23h·Lobsters, Hacker News
Time travel for knowledge graphs: live queries over RDF change histories  🕸️Knowledge Graphs
arxiv.org·2d
dogmaticdev/SIMD-Tokenizer: A Hyper Optimzed Tokenizer written in handwritten assembly. Made for SSE2 cpu architectures.  🏗️Cranelift
github.com·5d·Hacker News
Turning scattered knowledge into trusted intelligence: Stack Internal 2026.3  🌊SeaORM Migrations
stackoverflow.blog·2d
Gte-go – my over-optimized embedding model  🎨Chroma
rcarmo.github.io·3d·Hacker News
std::experimental::where (3) Linux Manual Page  🦀Rust Macros
systutorials.com·1d
Monitoring Claude Code/Cowork at scale with OTel in Elastic  🐙Benthos
elastic.co·6d·DEV
Unified Telemetry Management Plane at Google Cloud Next  🔭OpenTelemetry
philipotoole.com·6d
RAG pipelines, leaking PII into vector databases and nobody's talking about it  👻Rust Phantom Data
comply-tech.co.uk·6d·Hacker News
Building real products alone on Cloudflare and Claude Code  ☁️Cloudflare Workers
lord.technology·4d
Converting an Integer to a Decimal String in Under Two Nanoseconds  📏Run-Length Encoding
arxiv.org·21h
Case Study: Reducing Data Ingestion Latency by 96.4% (24.5x Speedup)  ⏰Timely Dataflow
dev.to·1d·DEV
GPU-Native Multi-Area State Estimation via SIMD Abstraction and Boundary Condensation  🎮SIMT Execution
arxiv.org·2d
How I Built an AI Document Ingestion Pipeline  🎯Lance
dev.to·2d·DEV
Document-to-Markdown for RAG: Preparing Documents for Your AI Knowledge Base  📝Markdown
dev.to·1d·DEV
Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents  📏Linear Types
arxiv.org·3d
AI Products Break on the Data Layer — Not on the Next Model Release  ⚓Anchors
dev.to·3d·DEV

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