Vector search

Articles sur Vector search (8)

• Au-delà de la recherche : mise en œuvre de wikis LLM et de couches de mémoire avancées pour l’IA en entreprise
  2026-08-11 · Mirko Peters
  Bon retour sur le podcast et sur notre blog associé ! Aujourd’hui, nous plongeons au cœur d’un sujet qui occupe les tableaux blancs des architectes dans toutes les entreprises …
• Microsoft 365 Copilot Search
  2026-04-16 · Mirko Peters
  Comprendre comment Microsoft 365 Copilot Search récupère les résultats via Microsoft Graph, l’indexation sémantique, les autorisations et le contexte des données d’entreprise.
• Traditional vs. Vector Databases: Why Context Beats Keywords in AI
  2026-08-27 · Mirko Peters
  Welcome back to the podcast companion blog! In today's fast-paced digital ecosystem, artificial intelligence and large language models have completely shifted how w…
• Conquering the Billion-Vector Problem in Azure AI Search
  2026-08-26 · Mirko Peters
  Welcome to our deep dive into one of the most pressing challenges in modern enterprise artificial intelligence: scaling vector search to billions of records. If you…
• Why Pure Vector Search Fails Enterprise AI (And How to Fix It)
  2026-08-26 · Mirko Peters
  When you start deploying generative AI across your organization, you quickly realize that standard Retrieval-Augmented Generation (RAG) setups lean heavily on pure …
• Solving the Billion-Vector Problem in Azure AI Search
  2026-08-26 · Mirko Peters
  Explore the unique technical challenges of searching massive datasets at scale. This post breaks down how high dimensionality and memory constraints impact enterpri…
• Beyond Retrieval: Implementing LLM Wikis and Advanced Memory Layers for Enterprise AI
  2026-08-11 · Mirko Peters
  Welcome back to the podcast and our companion blog! Today, we are diving deep into a topic that has been dominating architectural whiteboards across the enterprise …
• Microsoft 365 Copilot Search
  2026-04-16 · Mirko Peters
  Understand how Microsoft 365 Copilot Search retrieves results through Microsoft Graph, semantic indexing, permissions, and enterprise data context.