Amazon S3 Vectors: When Storage Learns to Think
dev.toยท2hยท
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๐Ÿ—‚๏ธVector Databases
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A Minimal Route to Transformer Attention
neelsomaniblog.comยท1dยท
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๐ŸงฎVector Embeddings
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Scaling Image Geo-Localization to Continent Level
arxiv.orgยท16h
๐Ÿ•ณ๏ธPersistent Homology
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AI Powered Search Optimization: Building the Next Generation of Intelligent Search Systems
open.forem.comยท6hยท
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๐Ÿ“ŠFeed Optimization
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3 Minutes to Start Your Research in Nearest Neighbor Search
romanbikbulatov.bearblog.devยท2dยท
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๐Ÿ“Range Queries
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Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
dev.toยท10hยท
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๐Ÿ•ธ๏ธGraph Embeddings
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Keyword vs. semantic search with AI
dev.toยท2dยท
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๐Ÿ”Semantic Search
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Show HN: Vision-Based, Vectorless RAG for Long Douments
github.comยท3hยท
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๐Ÿค–Advanced OCR
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The Machine Learning Projects Employers Want to See
towardsdatascience.comยท6h
๐ŸŽตAudio ML
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Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search
aws.amazon.comยท3dยท
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๐ŸงฎVector Embeddings
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Your Transformer is Secretly an EOT Solver
elonlit.comยท15hยท
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๐ŸงฎKolmogorov Complexity
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Building a Self-Improving RAG System with Smart Query Routing and Answer Validation
dev.toยท7hยท
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๐Ÿ”Information Retrieval
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Building Smarter Search Systems with AI Powered Search Optimization
dev.toยท10hยท
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๐Ÿ“ŠSearch Ranking
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We built a vector search engine that lets you choose precision at query time
clickhouse.comยท3dยท
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๐ŸŒณTrie Structures
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Building an Intelligent RAG System with Query Routing, Validation and Self-Correction
dev.toยท7hยท
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๐Ÿ”Information Retrieval
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What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
arxiv.orgยท16h
๐ŸŽ›๏ธFeed Filtering
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AI Powered Search Optimization: Building the Next Generation of Intelligent Search Systems
dev.toยท6hยท
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๐Ÿ“ŠFeed Optimization
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Show HN: Hot or Slop โ€“ Visual Turing test on how well humans detect AI images
hotorslop.comยท17hยท
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๐Ÿ“ŠLearned Metrics
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Tencent/WeKnora
github.comยท18h
๐Ÿค–Archive Automation
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