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Vector search and retrieval

Data & AI Infrastructure

Technical deep dives on vector search, semantic retrieval, and AI infrastructure design.

What this hub covers

Recommended articles

Hands-on research and implementation notes.

Related capabilities

Explore platform areas connected to data and AI infrastructure.

  • Vector search and semantic retrieval systems
  • Data infrastructure patterns for AI workloads
  • Performance and reliability in production
  • TeachJanuary 10, 202525 min readMarc F. AdamVector Search Integration Hell: Making Redis + OpenAI Embeddings Production-ReadyDeep dive into solving performance, memory management, and reliability challenges when implementing enterprise-scale vector search with Redis and OpenAI embeddings.
  • TeachJanuary 8, 202514 min readMarc F. AdamSolving the Context Detection Challenge: From Naive Keywords to Semantic Intent RecognitionOur journey from simple keyword matching to intelligent context detection, bridging conversational AI with business data through semantic understanding.
  • TeachJanuary 6, 202516 min readMarc F. AdamThe Natural Language to SQL Problem: Bridging Conversational AI with Dynamic SchemaTechnical research on translating natural language business questions into accurate database queries across dynamic, user-generated entity schemas.
  • IntegrationsConnect data sources and operational systems.
  • DatabasesFlexible data modeling for complex entities.
  • Performance & ReliabilityInfrastructure built for scale and uptime.

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