Vector Search 2026: Azure AI Search vs pgvector vs Pinecone
The vector-database market settled in 2025. The 2026 question is less "which novel DB do we adopt" and more "do we need a separate vector store at all." A decision framework across Azure AI Search, pgvector on managed Postgres, and the dedicated managed vector platforms, with the workloads each one handles well.
SQL Server 2025 Vector Search for Hybrid RAG: A Benchmark
A practical comparison of SQL Server 2025 vector search against Azure AI Search and pgvector for hybrid RAG — when collocating vectors with your transactional data is the right call, and when a dedicated search layer still wins.
Hybrid Search for Manufacturing Knowledge Bases
Pure keyword search misses semantic matches. Pure vector search misses exact part numbers. Hybrid search combines both. This post explains the rank fusion and semantic re-ranking choices that turn a hybrid Azure AI Search query from "works on demos" into a production retrieval layer for manufacturing knowledge bases.
Building Knowledge-Powered Agents with Azure AI Search: RAG, Hybrid Search, and Agentic Retrieval - Microsoft Ignite 2025
Microsoft Ignite BRK193: Build agents with Azure AI Search knowledge features. Connect to SharePoint, web, blob. Hybrid search (keyword+vector+semantic), agentic retrieval with query planning, reasoning effort modes, Foundry IQ with MCP protocol. Code-focused implementation guide.