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A Systematic Analysis of Chunking Strategies for Reliable Question Answering
arxiv.org·1d
📄Semantic Chunking
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Skyreader: A RSS Reader on the AT Protocol
disnetdev.com·2d·
Discuss: Hacker News
📰RSS Reading Practices
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How I Rebuilt a RAG System that Actually Works
pub.towardsai.net·1d
🔄LLM RAG Pipelines
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A Home-Cooked App to Share Links with Lisa
ruk.ca·15h
📡RSS
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Surface top threats in CTI newsletters
feedly.com·1d
📰RSS Reading Practices
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Retrieve and Rerank: Personalized Search Without Leaving Postgres
paradedb.com·1d
👤Search Personalization
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Gathering Time Series Data
denvaar.dev·1d
🔍Feed Discovery
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Arctic Wolf’s Liquid Clustering Architecture Tuned for Petabyte Scale
databricks.com·12h
ClickHouse
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featurestorebook/mlfs-book: O'Reilly book - Building Machine Learning Systems with a feature store: batch, real-time, and LLMs
github.com·5h·
Discuss: Hacker News
🏗️LLM Infrastructure
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Fighting for algorithmic justice: lessons learned in working closely with affected people
europedigital.cloud·22h
🛡️Anthropic PBC
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Status Games and the Future of Social Networks
oftenwrong.net·1d
🌐ActivityPub Protocol
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Industry-Aligned Granular Topic Modeling
arxiv.org·1d
🔄LLM RAG Pipelines
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How Netflix Built a Real-Time Distributed Graph for Internet Scale
blog.bytebytego.com·14h
🌐ActivityPub Protocol
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International SEO in 2026: What still works, what no longer does, and why
searchengineland.com·17h
💰Search Economics
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How poor chunking increases AI costs and weakens accuracy
blog.logrocket.com·17h
🔤Tokenization
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Event-Driven Systems with NATS and Jetstream
james-carr.org·2d
🌊Async Patterns
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Event data
docs.gitlab.com·1d
🔍Feed Discovery
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[Note] Assing [RSS Exclusive!]
danq.me·19h
📡RSS
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
techxplore.com·15h
📊Statistical Ranking
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Microsoft OpenAI docs leak 📄, X open sources algo 👨‍💻, MCP vs Skills vs Agents 🤖
tldr.tech·1d
🧠Obsidian
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