Vector search

Artikel zu Vector search (8)

• Jenseits des Retrievals: LLM-Wikis und fortschrittliche Memory-Layer für Enterprise-AI
  2026-08-11 · Mirko Peters
  Willkommen zurück zu unserem Podcast und dem begleitenden Blog! Heute tauchen wir tief in ein Thema ein, das derzeit auf den Architektur-Whiteboards der Unternehmens-IT dominiert …
• Microsoft 365 Copilot Search
  2026-04-16 · Mirko Peters
  Erfahren Sie, wie Microsoft 365 Copilot Search Ergebnisse über Microsoft Graph, semantische Indizierung, Berechtigungen und den Kontext Ihrer Unternehmensdaten abruft.
• 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.