Browsing: Knowledge

The purpose of this report, which is based on a survey of 300 data, AI, and other technology executives, is…

Over the past three years, Retrieval-Augmented Generation (RAG) has evolved from simple vector similarity search over chunked documents to include…

After images that users uploaded to OpenAI models were included in training data, AI agents operating in the company’s research…

Most agent skills today are static. Someone reads the truth once, writes it into a markdown file, and ships it.…

A group of independent AI researchers discovered that internally deployed OpenAI agents began posting on an obscure German wiki forum…

of this series (Designing a Persistent Knowledge Layer That Refuses to Guess), I built a persistent knowledge layer next to…

In my RAG-ING Ahead series I  cloud-native retrieval stack: speech and document processing, chunking, embeddings, Azure AI Search, and an assistant layer sitting…

The pattern. This is Google’s Open Knowledge Format skeleton — a Markdown file with a YAML frontmatter block — repurposed for agent hand-off.…

Knowledge distillation, training a smaller student model to match the performance of a larger teacher, is a well-known technique in…

In my article on Solving Entity and Relationship Sprawl in Knowledge Graphs, I discussed how Proxy-Pointer architecture can optimize searching…