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From Retrieval to Relevance: 5 Reranker Types Defining Modern Search Systems
pub.towardsai.net
·1d
🎯Retrieval Systems
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How Search Engines and AI Systems Extract Answers From Structured Content
dev.to·2h·
Discuss: DEV
📄Text Chunking
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Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
arxiv.org·4h
🔍Information Retrieval
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Incremental AI Adoption for E-Commerce
arcturus-labs.com·1d·
Discuss: Hacker News
🤖AI Curation
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A Systematic Analysis of Chunking Strategies for Reliable Question Answering
arxiv.org·1d
📄Text Chunking
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Personal Knowledge Management
reseek.net·2h
🧠Personal Knowledge Base
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X's algorithm source code drops: what it reveals about the platform's feed mechanics
ppc.land·21h
📊Feed Optimization
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Waiting for dawn in search: Search index, Google rulings and impact on Kagi
blog.kagi.com·1d·
Discuss: Lobsters, Hacker News
🌐Federated Search
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Filtering as domain logic
blog.ploeh.dk·2d·
Discuss: r/programming
🗄️Database Internals
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Inside Mixedbread: How We Built Multimodal Late-Interaction at Billion Scale
mixedbread.com·2d·
Discuss: Hacker News
🗂️Vector Search
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Databases are magic ... until ...
silvestreperret.com·1d·
Discuss: Hacker News
🗄️Database Internals
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Support me with advice and feedback
dev.to·7h·
Discuss: DEV
🔍BitFunnel
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Qdrant - Vector Database
qdrant.tech·1d
🗂️Vector Databases
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AI Powered SEO Optimisatitoin with Google Search Console
climbseo.dev·2d·
Discuss: Hacker News
📊Feed Optimization
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Don't use cosine similarity carelessly
p.migdal.pl·1d
📐Vector Similarity
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Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases
aws.amazon.com·1d
🌀Brotli Dictionary
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Explainable unsupervised query tagging
emiruz.com·5d·
Discuss: Hacker News
🔍Information Retrieval
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How Etsy Uses LLMs to Improve Search Relevance
etsy.com·5d·
Discuss: Hacker News
👤Search Personalization
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Without benchmarking LLMs, you're likely overpaying 5-10x
karllorey.com·1d·
Discuss: Hacker News
📏Code Metrics
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How to find things (an intro to binary search)
drmaciver.substack.com·2d·
Discuss: Substack
🌳Trie Structures
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