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MMma michaelincloudsway.hashnode.dev·3d ago · 11 min read

Agentic Search: How AI Agents Search, Evaluate, and Cite the Web

TL;DR Agentic search allows an AI agent to plan searches, evaluate results, refine queries, and decide when it has enough evidence to answer. Unlike traditional RAG, it is designed for live, open-end

HFHussain Fakhruddininsultanbyte.com·6d ago · 9 min read

Arabic search in production: normalization, stemming and relevance QA

Arabic search rarely fails because a team forgot to add a search box. It fails in the gap between what a user types, what the index stores, and what the analyzer quietly changes along the way. A produ

VUVladimir Ushakovinvladimir-dev-notes.hashnode.dev·Aug 15 · 6 min read

Designing Search for Noisy City Telegram Chats: Intent, Retrieval, and Language Boundaries

City Telegram chats look like a search corpus, but they behave more like a fast-moving stream of half-structured events. A person asking for a motorbike, an owner offering one, and somebody recommendi

JPJaxon Parrottinmachinerelations.hashnode.dev·Aug 12 · 7 min read

How Citation Evaluation Works in Search-Augmented LLMs

Citation evaluation in search-augmented LLMs is not a link checker. It is a claim-support test: the system must decide whether a retrieved source is accessible, relevant, attributable, and strong enou

SNSpecial Needs Care Networkinspcn.hashnode.dev·Aug 11 · 3 min read

Building a City-First Event Directory: Location and Category as First-Class Data

An event directory looks simple from the outside: search for a venue, open a profile, and ask for a quote. The underlying product problem is more specific. An event search is usually constrained by se

SNSpecial Needs Care Networkinspcn.hashnode.dev·Aug 11 · 3 min read

A Query Contract for Local Provider Search

Local provider search is often treated as a text-ranking problem. A user types a city and a service, the system returns a list of pages, and the product team tunes the copy. That model is incomplete.

JPJaxon Parrottinauthoritytech.hashnode.dev·Aug 11 · 9 min read

How AI Search Engines Choose Citations

AI search citations are not won by publishing more pages. They are won by making a source easy to retrieve, easy to verify, and easy to attach to a specific claim. The engines differ, but the pattern

JPJaxon Parrottinmachinerelations.hashnode.dev·Aug 10 · 6 min read

Answer Engine Source Records Need More Than URLs

Answer engine source record design is the metadata layer that lets an AI answer system retrieve, evaluate, attribute, and cite a source without collapsing it into a bare URL. A usable record needs ide

HFHussain Fakhruddininsultanbyte.com·Aug 7 · 8 min read

Building Arabic Search That Users Can Trust

Arabic search often fails in ways that English-language test data will not reveal. A customer types تأمين and the catalogue contains the same word with diacritics. A merchant name arrives with an alef

UKUbeydullah Keleşinubeyd.dev·Aug 5 · 7 min read

Ranked Search on SQLite

Deutsche Post does not hire Postboten. Not in its job titles, anyway — the postal-delivery listings are titled "Zusteller" or "Fachkraft Postdienstleistungen", and the word every German speaker would