Image created with Ideogram 3.0. Image prompt: Lower-East-Side street-corner photograph reminiscent of a late-80s album cover: weathered red-brick tenement with exterior fire-escapes, canvas awning shading racks of vintage clothes; above the awning, a hand-painted board reads ‘RAG SPORTSWEAR’; a hanging blade sign in cursive script reads ‘RAG Boutique’; a patched denim banner reading ‘RAG Time’ drapes over the railing; warm golden-hour light, subtle 35mm film grain, muted yet punchy color palette, gritty NYC vibe.
we’re launching a suite of new tools and new features today. a new MCP tool, code interpreter tool, and image generation tool – plus background mode, reasoning summaries, and file search within reasoning models https://x.com/stevenheidel/status/1925209984180380101
🦜🤖Introducing Open Agent Platform An open-source, no-code agent building platform. OAP enables non-developers to build highly customizable agents, which connect to: – 🛠️MCP Tools – 📄LangConnect for RAG – 🤖Other LangGraph Agents! Try the public demo, or fork & customize it https://x.com/LangChainAI/status/1922722850542346680
the OpenAI Responses API is now the first truly agentic API 🚀 developers can combine MCP servers, code interpreter, reasoning, web search, and RAG – all within a single API call – to build the next generation of agents 🤖”” / X https://x.com/stevenheidel/status/1925209983073046616
We’re partnering with @Dell to accelerate secure, agentic enterprise AI solutions. Dell will be the first provider to offer our secure agents platform, Cohere North, to enterprises on-premises, which is crucial for regulated industries handling sensitive data 🧵 https://x.com/cohere/status/1924512634373865950
We’re partnering with @SAP to bring enterprise-ready agentic AI to businesses worldwide! Our models will be embedded into SAP Business Suite, offering secure and scalable AI capabilities. With Cohere’s cutting-edge models also available on SAP AI Core, enterprises can leverage https://x.com/cohere/status/1924858543716630644
I’m starting to learn that agents, a bit like RAG I guess, is becoming less of a thing and just a control structure. With MCP integrated to InferenceClient, agents are just while loops. No stress. No framework. Just LLMs doing stuff. https://x.com/ben_burtenshaw/status/1925933013889663115
One thing the Deep Research models make clear is letting AIs agentically use their own tools to do search & see the outcomes can result in much better outcomes than RAG. The ability for AI to understand context for answers, see what isn’t found, & follow “curiosity” all matter.”” / X https://x.com/emollick/status/1923066932174942544
🆕 We just released our Gradio Docs MCP! Supercharge your LLM with rich context from Gradio’s docs ⚡️ https://x.com/Gradio/status/1918048390065340540
Enterprise Document AI & OCR | Mistral AI https://mistral.ai/solutions/document-ai
Great work @SullyOmarr and @HomamMalk Huge fans of @ottogrid_ai and am pumped to see it be a part of North from @cohere This is a 10/10 acquisition https://x.com/AtomSilverman/status/1923432542197211263
Choosing Secure AI https://cohere.com/blog/choosing-secure-ai
Learn why enterprises are turning toward secure and private AI: https://x.com/cohere/status/1923083886319243518
🎉🚨 New Integration Alert! I’m happy to share that FedRAG now supports Unsloth! You can now build RAG systems using any of @UnslothAI’s FastModels as your generator, then fine-tune with all of Unsloth’s performance accelerators and patches. I’m thrilled to finally integrate https://x.com/_nerdai_/status/1925991694102638841
🚀 Big news: Together AI has acquired @RefuelAI! Refuel specializes in models and tools that turn messy, unstructured data into clean, structured input—exactly what teams need to build high-quality, production-grade AI applications. Details below 👇 https://x.com/togethercompute/status/1923059615534616846
