Day 10 of From Zero to OpenSearch Hero is live. This one covers migration and upgrade strategies because choosing the wrong path when you cannot downgrade a node is not a mistake you want to make in production. Four strategies explained from rolling upgrades to the Migration Assistant, a version compatibility breakdown, Elasticsearch migration paths, and a full hands-on lab where you snapshot from OpenSearch 2.11 and restore on 2.17 using Docker. The decision framework alone will save you hours of guessing. Read it on 9cld.com and explore the interactive guide at opensearch.9cld.com/day/10-m… #OpenSearch #Migration #AWS #AlibabaCloud #SearchEngineering #FromZeroToOpenSearchHero

Someone searches "portable computer for travel" and gets nothing. Same intent as "laptop", zero results. That is the vocabulary mismatch problem. Vector search fixes it. - Why embeddings exist - k-NN search basics - Semantic search with neural queries - Hybrid search (best of both worlds) - Optimization tricks Interactive guide: opensearch.9cld.com/day/04-v… Full post: 9cld.com/p/day-4-vector-sear… #OpenSearch #VectorSearch #SemanticSearch #SearchEngineering #AWS #AlibabaCloud #BuildInPublic #LearnInPublic

Check full post on our LinkedIn Page: linkedin.com/feed/update/urn… #SearchEngineering #FutureOfSearch #SEO2026 #DigitalMarketingStrategy #AIDrivenSearch #BrandVisibility #MarketingInsights #SEOWebPlanetSolutions #BusinessGrowth #AISEO

𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐄𝐥𝐚𝐬𝐭𝐢𝐜𝐬𝐞𝐚𝐫𝐜𝐡 𝐭𝐨 𝐐𝐝𝐫𝐚𝐧𝐭 - 𝐃𝐞𝐞𝐩-𝐃𝐢𝐯𝐞 𝐛𝐲 Mahimai Raja J We think this is a a great technical breakdown on why many teams are moving from Elasticsearch to Qdrant for their vector search workloads. Why he wrote this? After facing challenges with scaling Elasticsearch for vector workloads - complex configs, higher infra cost, and limited vector performance - Mahimai created a practical guide to help teams transition smoothly to a vector-first stack. 𝐈𝐭 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐬: 𝑾𝒉𝒚 𝒎𝒊𝒈𝒓𝒂𝒕𝒆? - Challenging to build scaled, performant vector search with Elastic - Need to reduce latency - Increase resource efficiency 𝑯𝒐𝒘 𝑸𝒅𝒓𝒂𝒏𝒕 𝒉𝒆𝒍𝒑𝒔? - Native vector indexing - Strong payload filtering - Efficient dense sparse hybrid search - Easier scaling and maintenance 𝑻𝒉𝒆 𝒎𝒊𝒈𝒓𝒂𝒕𝒊𝒐𝒏 𝒑𝒓𝒐𝒄𝒆𝒔𝒔: - Exporting ES data & embeddings - Re-mapping schema for Qdrant - Rebuilding collections & payloads - Updating query patterns for vector search - Handling ranking and scoring differences Practical guidance: Includes real-world examples, code snippets, and common pitfalls to avoid during migration. Full article 👉 pub.towardsai.net/how-to-mig… #Qdrant #VectorSearch #Migration #SearchEngineering #LLMApps

Search knowledge repository is a carefully curated collection of modern search engineering resources, focusing heavily on both traditional lexical and cutting-edge vector-based search approaches. The repo documents advanced search architectures, from bi-encoders to cross-encoders, and covers critical e-commerce search patterns. While it's not a software implementation itself, it's an invaluable technical reference for building robust search systems. Key topics include: - Dense/sparse vector implementations - Embedding strategies & dimensionality reduction - Hybrid search architectures - Query understanding & relevance optimization Perfect for engineers implementing search at scale. github: /frutik/awesome-search #SearchEngineering #NLP #MachineLearning #VectorSearch #InformationRetrieval #Embeddings

I really wish I could attend this 😭 someone needs to go for me and take notes 👀 #SearchEngineering #OpenSearch #SearchRelevance

Improve the relevance of search at Miro 🔎 We're looking for a Senior Engineer with experience in the search domain. Please feel free to reach out to me if you want to know more! miro.com/careers/vacancy/677… #SearchEngineering #SearchRelevance #LearningToRank #hiring

the inscription at the foot of john betjeman’s statue looks like the style of cambridge’s cardozo kindersley workshop - a little searchengineering did not find out who carved it

I vaguely remember a quote about beauty vs ugliness in aircraft design from Kelly Johnson or Ben Rich, but my searchengineering is failing to dig it up 😕

I saw this then I did a bit of searchengineering and it turns out to have happened December last year, and was one of the worst container losses this angle undersells it

I have seen retro computer restorers do something clever to whiten yellowed plastic but I don’t know the details … some quick searchengineering gave me retrofixes.com/2013/10/how-t… but you should probably check several sources

there is a chunky chip near the ethernet jack on the Raspberry Pi 400 which isn’t present on the bare 4B, and a bit of searchengineering the component number reveals it is a POE transformer :-) bourns.com/docs/Product-Data…

aha looks like it's 32 bits wide based on searchengineering micron part numbers

I am sure there are older descriptions of “an update on X” but a little bit of searchengineering unearthed news.ycombinator.com/item?id… and news.ycombinator.com/item?id…

I still like the name “superglue” for my DNS registr* delegation management scripts … I was slightly worried that “superglue” would be terrible for searchengineering but “superglue DNS” works pretty well! (don’t look now, though, the code is appalling)

This is how we serve millions of searches at @unacademy with one of the most sophisticated search platforms, built in-house. #Search #SearchEngineering medium.com/@often_weird/serv…

Vimeo is seeking a Sr. Search Engineer to help us tune our relevancy algorithms, extend search into new products, and to upgrade our existing #elasticsearch clusters. #searchengineering #lucene #relevancy Apply here buff.ly/2q4GQfu

Vimeo is seeking a Sr. Search Engineer to help tune our relevancy algorithms, extend search into new products, and to upgrade our existing #elasticsearch clusters. Work with @simplechris We'll be at Haystack hoping to find our needle @softwaredoug @o19s #searchengineering #lucene

TY4RT @elnewco @schnaars @searchengineering > ...How #LinkedIn's #Content Chief Does #B2B... bit.ly/1No25k5