How LinkedIn Rebuilt Search for 950 Million Members

Episode notes

LinkedIn's search team faced a massive technical challenge: how to serve relevant results to 950 million members across jobs, people, companies, and posts - all while respecting privacy and permissions. In this episode, Lucas and Luna dive into how the team rebuilt LinkedIn's search infrastructure using a real-time indexing pipeline and a custom retrieval engine called Galene. They discuss the trade-offs between relevance and speed, the decision to move away from Apache Solr, and how LinkedIn handles multilingual queries and typo tolerance. Specific numbers include: 2.5 billion search queries per week, 100 million daily active job searches, and a 40 percent reduction in query latency after the rebuild. #LinkedIn #SearchEngineering #Galene #RealTimeIndexing #ApacheSolr #InformationRetrieval #QueryLatency #MultilingualSearch #TypoTolerance #EngineeringLeadership #TechArchitecture #BusinessTechnology #FexingoBusiness #BusinessPodcast #CTO #PlatformEngineering #SearchRelevance #Infrastructure Keep every episode free: buymeacoffee.com/fexingo

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