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Performance Hints for BigQuery
trmlabs.com·12h·
Discuss: Hacker News
🚀Query Optimization
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Redis Caching in RAG: Normalized Queries, Semantic Traps & What Actually Worked
dev.to·1h·
Discuss: DEV
⚡Redis Internals
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Navigating the Labyrinth: Effective Database Indexing Strategies
dev.to·2d·
Discuss: DEV
📇Indexing Strategies
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What I Learned Building a Storage Engine That Outperforms RocksDB
tidesdb.com·9h·
Discuss: Hacker News, r/programming
🦀Rusty Databases
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Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
arxiv.org·3d
🕸️Graph Embeddings
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·16h·
Discuss: DEV
🌀Brotli Internals
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The Garbage Collection Handbook
gchandbook.org·5d
🧠Memory Allocators
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Newtype Index Pattern In Zig
matklad.github.io·3d·
Discuss: Lobsters, Hacker News
🗄️SQLite Internals
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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.com·2d
📊Search Ranking
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Transaction Management: Making ACID Real
dev.to·13h·
Discuss: DEV
📝Database WAL
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How We Reduced a 1.5GB Database by 99%
cardogio.substack.com·4d·
Discuss: Substack, r/programming
🦀Rusty Databases
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Caching Strategies (Redis Memcached) : Understand in 3 Minutes
martinfowler.com·4d·
Discuss: DEV
⚡Redis Internals
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Do we need semantic layer anymore? What are the limitations of LLMs?
motherduck.com·4d·
Discuss: Hacker News
🧮Datalog
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Rethinking data in NL2SQL: a survey of what we have and what we expect | Vicinagearth
link.springer.com·4d
📋Document Grammar
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Optimizing Text Search: A Novel Pattern Matching Algorithm Based on Ukkonen's Approach
arxiv.org·6d
🌳Trie Structures
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Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG)
vmat.fillout.com·4d·
Discuss: DEV
✅Format Verification
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Document search using Claude and an inverted index.
annanay.dev·5d·
Discuss: Hacker News
🗂️Vector Databases
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An Inequality Union Find Inspired by Atomic Asymmetric Completion
philipzucker.com·6d
🤝Unification Algorithms
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3 Smart Ways to Encode Categorical Features for Machine Learning - MachineLearningMastery.com
machinelearningmastery.com·5d
🧠Machine Learning
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aashirpersonal/semantic-coverage: Automated detection of knowledge gaps and blind spots in RAG vector stores.
github.com·3d·
Discuss: Hacker News
🌀Brotli Internals
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