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Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are discovering that retrieval is no longer a feature bolted onto model inference — it has become a foundational system dependency.Once AI systems are deployed to support decision-making, automate workflows or operate semi-autonomously, failures in retrieval propagate directly...
By now, many enterprises have deployed some form of RAG. The promise is seductive: index your PDFs, connect an LLM and instantly democratize your corporate knowledge.But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates.The failure isn't in the LLM. The failure is in the preprocessing....
OpenClaw, the open-source AI assistant formerly known as Clawdbot and then Moltbot, crossed 180,000 GitHub stars and drew 2 million visitors in a single week, according to creator Peter Steinberger. Security researchers scanning the internet found over 1,800 exposed instances leaking API keys, chat histories, and account credentials. The project has been rebranded twice in recent weeks due to...
San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source licenses to the public—enabling developers, solo entrepreneurs, and even medium-to-large enterprises to use the powerful AI models for free and customize them at will.Now Arcee is back again this week...
A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents.The classic RAG workflow (chunk documents, calculate embeddings, store them in a vector database, and retrieve the top matches based on semantic similarity) works well for basic tasks such as Q...
The chief data officer (CDO) has evolved from a niche compliance role into one of the most critical positions for AI deployment. These executives now sit at the intersection of data governance, AI strategy, and workforce readiness. Their decisions determine whether enterprises move from AI pilots to production scale or remain stuck in experimentation mode.That's why Informatica's third annual...
A new study by Google suggests that advanced reasoning models achieve high performance by simulating multi-agent-like debates involving diverse perspectives, personality traits, and domain expertise.Their experiments demonstrate that this internal debate, which they dub “society of thought,” significantly improves model performance in complex reasoning and planning tasks. The researchers found...
Presented by SAP The consumer packaged goods industry is experiencing a fundamental shift that's forcing even the most established brands to rethink how they operate. It's what some folks call the CPG squeeze, or a convergence of margin compression, trade policy headwinds, and the sobering reality that pricing-led growth is no longer a viable strategy. For companies that have relied on price...
Clawdbot's MCP implementation has no mandatory authentication, allows prompt injection, and grants shell access by design. Monday's VentureBeat article documented these architectural flaws. By Wednesday, security researchers had validated all three attack surfaces and found new ones.(The project rebranded from Clawdbot to Moltbot on January 27 after Anthropic issued a trademark request over the...
AI agents can talk to each other now — they just can't understand what the other one is trying to do. That's the problem Cisco's Outshift is trying to solve with a new architectural approach it calls the Internet of Cognition.The gap is practical: protocols like MCP and A2A let agents exchange messages and identify tools, but they don't share intent or context. Without that, multi-agent systems...