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Shekhar maheshwari23h ago • 10 min read
From Click Logs to Search Ranking: Building an Offline Popularity Trainer with Python and Typesense
Most learning-to-rank examples end when the model has been trained. A production search system still...
#python#machinelearning#search#typesense
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Reid Marlow5d ago • 6 min read
WeChat's embedding model is a deployment story, not a leaderboard flex
Tencent released WeMM-Embedding, a multimodal embedding family used inside WeChat search and recomme...
#ai#programming#search#discuss
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mech.app6d ago • 7 min read
Keenable: Agent-First Search API Architecture and the 100B-Page Index Trade-Off
How Keenable's proprietary index, SQL-like query interface, and p95 latency focus differ from human-...
#agents#api#architecture#search
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Chad Priest5d ago • 4 min read
SQLite FTS5 quietly ANDs your search terms
Our search box returned zero results for any sentence longer than four words. The bug wasn't ranking...
#sqlite#search#debugging#javascript
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ByteChef6d ago • 7 min read
Your Documents, Chunked and Searchable: The Knowledge Base in ByteChef
TL;DR: A Knowledge Base in ByteChef is a managed RAG store: drop in documents (PDF, Markdown, Word,....
#agents#ai#rag#search
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Ishta P Jain1d ago • 3 min read
Google and Gemini: If They Are Both Google, How Do They Actually Work Together?
Today, I did something completely random. I searched my full name on Google I wasn't expecting...
#ai#gemini#google#search
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mech.app3d ago • 5 min read
Cloudflare AI Search: Managed Vector Indexing and the Economics of Agent Search Infrastructure
How Cloudflare's bundled embedding, indexing, and retrieval model changes the cost structure and ope...
#ai#infrastructure#rag#search
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Enoch ChanAug 24, 2026 • 1 min read
Google Preferred Sources: reader choice, not a ranking guarantee
Google Preferred Sources: reader choice, not a ranking guarantee Google documents an...
#google#search#seo
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KnutBerg84121d ago • 7 min read
Vector Index Over Live Web Retrieval: Ranking Signals for Listing Discovery at Scale
Own the index for the durable half of your catalogue, and use live web retrieval only as a thin...
#rag#search#architecture#go
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Sergey Nikolaev20h ago • 7 min read
How KupujemProdajem searches 5.6 million ads at ~10 ms with Manticore Search
Originally posted by Manticore Search on https://manticoresearch.com/blog/kupujemprodajem/ on August...
#database#search#performance#architecture
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Danny StoneAug 24, 2026 • 8 min read
How to Find Old YouTube Videos: Tips for Locating a Specific Severe Vehicle Accident Footage
Introduction: The Elusive Wreck Video Imagine this: a white car or truck, maybe, hurtling...
#youtube#archiving#search#metadata
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Sergey NikolaevAug 24, 2026 • 5 min read
Full-Text Search Still Works. It Just Doesn’t Get You to an Answer
Originally posted by Klim Todrik on https://manticoresearch.com/blog/conversational-search/ on Aug.....
#ai#opensource#database#search
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Louis Enrique4d ago • 1 min read
Chief AI Officer Search: Key Skills to Look for in an AI Leader
As AI becomes an essential element of business strategy, Chief AI Officer Search can be instrumental...
#ai#officer#search
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GodfreySterling157423h ago • 9 min read
How to Stage Vector and Web Search for Claims Intake (with Audit Logs)
Short answer: use a staged retrieval design with explicit collections, bounded queries, and traceabl...
#search#rag#insurance
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nathanielbrooks03601d ago • 7 min read
E-commerce Retrieval Architecture — Crawl Boundaries for Citable Product Search
Short answer: For e-commerce product search, index durable catalog evidence inside an explicit trust...
#search#rag#ecommerce
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nilsberg21871d ago • 8 min read
Recruiting Candidate Search Failure Recovery: Traceable Staged Retrieval Architecture
Short answer: make recruiting candidate search a staged retrieval pipeline with explicit collections...
#search#rag#sre
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Hwpgsd5038171d ago • 6 min read
Retrieval Architecture for Recruiting Candidate Search Explained (2 Go Fallback Paths)
Short answer: use staged retrieval with explicit collections, bounded queries, and source context...
#rag#go#search
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NyxenL291d ago • 7 min read
Delete Semantics in Retrieval: What I Changed After Indexing 1,200 PDFs
A removed PDF has to stop being quoted within one refresh cycle. That constraint — not recall@10, no...
#rag#retrieval#search#go
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dawn li2d ago • 8 min read
Customer-Support Knowledge Base Retrieval — Observability for E-commerce Reranking
Short answer: use a staged retrieval design with explicit collections, bounded queries, and traceabl...
#rag#observability#search
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![Postgres Full Text Search vs Elasticsearch [2026]: Pick Right](https://media2.dev.to/dynamic/image/width=1200,height=627,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fbe1ucelylab1cyk8ryxt.png)
Kunal6d ago • 10 min read
Postgres Full Text Search vs Elasticsearch [2026]: Pick Right
If you’re asking “do we really need Elasticsearch?”, the right answer is a reproducible benchmark pl...
#postgres#elasticsearch#search#performance
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qing4d ago • 5 min read
Build a Simple Search Engine with Python
Build a Simple Search Engine with Python tags: python, search, tutorial,...
#python#search#tutorial#beginners
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