Retrieval-augmented generation is a standard way to ground large language models in enterprise information, but new research ...

Gen AI cost optimization strategies that cut token usage by up to 90% through semantic caching, model distillation, and smart ...

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

You know the ritual. The pipeline hallucinated in front of a customer, so you swapped the embedding model. Then you upgraded ...

RegattaDB unifies transactions, analytics, and vector search in one database, giving agents a single source of truth at scale, while reducing infrastructure costs by 75%. NEW YORK, July 15, 2026 ...

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 ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

Adaptive RAG is an intelligent, end-to-end Retrieval-Augmented Generation (RAG) system powered by agentic AI architecture. It combines dynamic query routing, intelligent document retrieval, and ...

Cloudflare Vectorize helps teams build scalable AI search with fast vector storage, semantic retrieval, and simple workflows for production apps. What is Vectorize? Vectorize helps teams build ...

Vector embeddings are approximation engines that are excellent at finding semantically similar content, but systematically weak at distinguishing specific entities ...

Drupal is warning that hackers are attempting to exploit a "highly critical" SQL injection vulnerability announced earlier this week. The content management system (CMS) project published a PSA on May ...

That doesn’t mean Pinecone, Weaviate, Milvus, or the other purpose-built vector vendors are doomed, but it does call into question the premise behind their VC pitch decks. For most enterprise ...