GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...

Yugabyte announced it is releasing YugabyteDB 2026.1 with enhanced AI capabilities along with YugabyteDB AMP (Agentic Multitenant PostgreSQL) for true serverless, scale-to-zero PostgreSQL where every ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

On the first day of Microsoft Build 2026 in San Francisco, Microsoft announced the public preview of Azure HorizonDB, a fully managed PostgreSQL-compatible database rebuilt from the ground up for ...

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...

Microsoft offers two paths for running enterprise databases: SQL Server, which you install and manage yourself, and Azure SQL, which Microsoft runs for you as a managed service. Both use the same ...

RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responses Choosing the right vector database can make or break performance, scalability, and user experience ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

SQL Server 2025 introduces vector-based search capabilities directly into the database platform. This allows organisations to store and query vector embeddings alongside relational data, supporting ...