From Documents to Dialogue: A step-by-step RAG Journey
dev.toยท8hยท
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๐Ÿ“ŠMulti-vector RAG
Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
arxiv.orgยท18h
๐ŸŽฏContent Recommendation
YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs
shaped.aiยท22h
๐Ÿ“ŠFeed Optimization
Mind the Gap: Quantifying Vocabulary Mismatch in E-Commerce Site Search
searchhub.ioยท1dยท
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๐Ÿ“ˆSearch Quality
CIR-CoT: Towards Interpretable Composed Image Retrieval via End-to-End Chain-of-Thought Reasoning
arxiv.orgยท18h
๐ŸงฎVector Embeddings
Welcome to LILโ€™s Data.gov Archive Search
lil.law.harvard.eduยท2h
๐Ÿ’พData Preservation
Relational Database Distillation: From Structured Tables to Condensed Graph Data
arxiv.orgยท1d
๐Ÿ“ŠGraph Databases
Show HN: Rebuilt Bible search app to run 100% client-side with Transformers.js
biblos.appยท46mยท
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๐Ÿ“œBinary Philology
Evaluating Gemini 2.5 Deep Think's math capabilities
epoch.aiยท8hยท
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๐ŸŽฏPerformance Proofs
TaoSR-SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance
arxiv.orgยท18h
๐Ÿ—‚๏ธVector Search
Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning
arxiv.orgยท18h
โš–๏ธFeed Ranking
In-Depth Analysis: "Attention Is All You Need"
dev.toยท6hยท
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๐Ÿง Intelligence Compression
Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.comยท4dยท
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๐Ÿง Learned Indexing
Making GitHub Issues Search Suck Less with BigQuery, Vertex AI and CloudQuery
cloudquery.ioยท1dยท
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๐ŸŒFederated Search
Scalable In-context Ranking with Generative Models
arxiv.orgยท2dยท
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โš–๏ธFeed Ranking
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.aiยท1dยท
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๐Ÿ’ปLocal LLMs
Doing Math with Embeddings for Better AI Ad Targeting
ethicalads.ioยท1dยท
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๐Ÿ“ŠFeed Optimization
TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
arxiv.orgยท18h
๐Ÿ‘คSearch Personalization