2025-12-16
It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI.
RAG emerged in the last couple of years to become the default approach for connecting LLMs to external knowledge. The pattern is straightforward: chunk documents, embed them into vectors, store them in a database, and retrieve the most similar passages when queries arrive. This works adequately for one-off questions over static documents. But the architecture breaks down when AI agents need to operate across multiple sessions, maintain context over time, or distinguish what they've observed from what they believe.
A new open source memory architecture called Hindsight tackles this challenge by organizing AI agent memory into fo [...]
2025-12-04
For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning [...]
2025-11-03
Everything new about the revamped Apple Vision Pro can fit in a single sentence: It has a far faster and more efficient M5 chip, it comes with a more comfortable Dual Knit Band and its display looks s [...]
2025-11-06
By now, enterprises understand that retrieval augmented generation (RAG) allows applications and agents to find the best, most grounded information for queries. However, typical RAG setups could be an [...]
2025-11-19
Fetch AI, a startup founded and led by former DeepMind founding investor, Humayun Sheikh, today announced the release of three interconnected products designed to provide the trust, coordination, and [...]
2025-12-22
While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new customers in a single quarter — a 48% [...]
2025-11-06
Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has e [...]
2025-11-01
Every SOC leader knows the feeling: drowning in alerts, blind to the real threat, stuck playing defense in a war waged at the speed of AI. Now CrowdStrike and NVIDIA are flipping the script. Armed wit [...]
2025-10-08
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]
2025-10-29
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]