Search technology has undergone a fundamental transformation as systems move away from static indexes toward dynamic ...

Schema markup does more than power rich results. Build a knowledge graph, assess entity coverage, and find gaps in AI ...

By Qu Liu. The Miner School of Computer and Information Sciences is proud to announce a Dissertation Proposal by Qu Liu titled "Efficient and Adaptive Online Learning M ...

A VB Pulse survey of 101 enterprises finds 57% traced a wrong AI agent answer to bad context, and only 25% have a governed context layer in production.

Traditional RAG typically retrieves relevant text from a vector database and supplies it to an LLM as context. Automation ...

Without a clear view of where sensitive data lives, who can access it and how it moves, blind spots can quickly turn into security, compliance and operational risks.

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries fast and efficiently, carry citations and lineage on 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 ...

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

A new preprint shows vector-similarity search can treat clinically distinct cancer variants as the same, and a typed ...

IIT Delhi has opened admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification course designed for professionals seeking skills in artificial intelligence, ...

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 ...