Excited to share that deepset has been recognized as a 2024 Gartner® Cool Vendor in AI Engineering. We believe this recognition validates our innovative AI approach and work empowering enterprise AI adoption. Get the report:

RT @Haystack_AI: 🔔 Haystack 2.17 is here with extended multimodality & flexible routing. This release expands Haystack's multimodal capabil….

🚀 Introducing Haystack Enterprise: a faster path from prototype to production with expert support and best practice guidance. Haystack Enterprise is available now and includes:. 🔧 Expert support from the Haystack core team.📦 Out-of-the-box templates for advanced RAG, agents,

RT @Haystack_AI: 🔔 Haystack 2.16 is here with deep debugging for Agents and powerful multimodal workflows. This release is all about devel….

RT @Haystack_AI: 🤩 Big news from Baden-Württemberg @RegierungBW: their AI assistant F13 is now open source and built on @Haystack_AI!. F13….

RT @Haystack_AI: 🔥 Haystack 2.15 just landed with faster agents and AI guardrails for safer apps. Here’s what’s new 👇. ⚡ Parallel Tool Call….

RT @Haystack_AI: 🚀 You can use Gemini 2.5 Pro, Flash, and Flash-Lite with Haystack! 🔥. Build smart, flexible pipelines and agents with your….

Today at #GTCParis we’re announcing our integration with @nvidia Enterprise AI Factory validated design, enabling production-ready AI systems tailored to enterprise requirements, delivered on-premises. Organizations can now deploy sophisticated multi-agent workflows on NVIDIA

📢 Excited to share our new case study with @awscloud and @AnthropicAI featuring MANZ. MANZ Genjus KI is an AI-powered legal assistant that transforms how legal professionals research, analyze documents, and draft contracts. This innovative AI agent:. • Thoroughly analyzes

RT @Haystack_AI: 🔔 𝗛𝗮𝘆𝘀𝘁𝗮𝗰𝗸 𝟮.𝟭𝟰 𝗶𝘀 𝗵𝗲𝗿𝗲 — 𝘄𝗶𝘁𝗵 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗮𝗴𝗲𝗻𝘁 𝘀𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗮𝗻𝗱 𝗱𝗲𝗲𝗽𝗲𝗿 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀. This release brings powerful….

RT @Haystack_AI: 🖼️ Building agents that understand both text and images?. We've released @Haystack_AI's new experimental Multimodal suppor….

RT @Haystack_AI: 🚀 Deploying AI pipelines just got way easier!. 𝗛𝗮𝘆𝘀𝘁𝗮𝗰𝗸 makes it easy to build modular LLM pipelines for agentic apps. Now….

🛠️ RAG may not be the most hyped AI architecture right now. But it remains the one that delivers the most value to users. Gen AI evolves fast, but RAG remains one of the most reliable, scalable, and industry-ready approaches for bringing LLMs into the real world. Whether you're

📚 NEW RESOURCE: 𝙍𝙚𝙩𝙧𝙞𝙚𝙫𝙖𝙡-𝘼𝙪𝙜𝙢𝙚𝙣𝙩𝙚𝙙 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙤𝙣 𝙞𝙣 𝙋𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙤𝙣 𝙬𝙞𝙩𝙝 𝙃𝙖𝙮𝙨𝙩𝙖𝙘𝙠 by O'Reilly. Retrieval-augmented generation (RAG) has become the de facto standard for ensuring the factual accuracy of generative AI models.

We’ve partnered with @weights_biases Weave to bring enterprise-grade observability to AI apps and agents built on the deepset AI Platform. This collaboration combines the best of both worlds: deepset’s flexible, modular framework for building AI applications, and Weights &.

🔔 @Haystack_AI 𝟮.𝟭𝟯.𝟬 𝗶𝘀 𝗵𝗲𝗿𝗲 — 𝘄𝗶𝘁𝗵 𝗮𝗴𝗲𝗻𝘁 𝘁𝗿𝗮𝗰𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝘁𝗼𝗼𝗹 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁!. Here’s what’s new:. 🔍 𝗔𝗴𝗲𝗻𝘁 𝗧𝗿𝗮𝗰𝗶𝗻𝗴.Get deeper visibility into your agent’s behavior. Each step in the Agent is now traced and

RT @Haystack_AI: 🔔 𝗛𝗮𝘆𝘀𝘁𝗮𝗰𝗸 𝟮.𝟭𝟯.𝟬 𝗶𝘀 𝗵𝗲𝗿𝗲 — with agent tracing and enhanced tool management!. With powerful agent tracing, smarter tool ma….

🚨 New White Paper: Transform Complex Document Analysis Workflows with Generative #AI. Intelligent Document Processing (#IDP) is top of mind for many of our customers, and for a simple reason: organizations' document collections are constantly growing and need to be leveraged to

RT @Haystack_AI: 𝗦𝗽𝗿𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝗛𝗮𝘆𝘀𝘁𝗮𝗰𝗸: 𝗢𝘂𝗿 𝗦𝗲𝗮𝘀𝗼𝗻𝗮𝗹 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗶𝘀 𝗟𝗶𝘃𝗲! 🌸. Looking for a reason to 𝘥𝘪𝘨 𝘪𝘯𝘵𝘰 𝘈𝘐 𝘈𝘨𝘦𝘯𝘵𝘴 and explore the 𝗠𝗼𝗱𝗲𝗹….

There's a new standard in town 🔥. Model Context Protocol (MCP) promises to change how we build AI applications by standardizing access to tools and data. But what makes it actually useful? Our new blog breaks down #MCP with real examples that show how it works AND why it