deepset

🤝  ICYMI we announced a new integration between Haystack & MongoDB Atlas that empowers developers to easily build enterprise-grade apps including: ✅ RAG ✅ Question & Answering ✅ Semantic Search & Retrieval ✅ Agents ...and many more use cases! Get started on Haystack https://lnkd.in/eksb4U2w and learn more about our partnership here: https://lnkd.in/eRx6Czgh

Just a few more hours to go. If you are someone working in the finance industry are curious about the practical and relevant applications of Generative AI in the financial sector, then this session is for you. Sign up link below 👇 In this session Eliza Upadhyaya talks about: - Extracting insights from unstructured data using LLMs - Accelerating due diligence processes - Automating manual and repetitive tasks - Delivering differentiated value to your customers faster Don't miss out... https://hubs.li/Q02yzQRs0

🔔 Just a few more days to go for another deepset webinar. [sign up link below 👇] deepset Product Manager Eliza unveils how Generative AI is transforming financial services with some practical use cases! During this session, Eliza will also demo the latest features of deepset Cloud that can help you extract insights from unstructured data with LLMs to accelerate due diligence, automate manual repetitive work, and bring differentiated value to your customers faster. 📅 Save the date and register below https://hubs.li/Q02yzQRs0

🚀 Build and Scale Gen AI Applications with Haystack and NVIDIA NIM 🚀 NVIDIA NIM is now globally available, empowering developers deploy AI applications with integrations across the every layer of the AI ecosystem, including Haystack by deepset. With Haystack and NIM, you can: ⚙️ Leverage proven, production-ready AI frameworks and architecture 🌟 Ensure a performant user experience through high volume query and indexing workloads 🦾 Flexibly prototype and deploy in cloud, on-premise, or air-gapped environments Learn more about our partnership and launching intelligent, production-ready LLM apps here: https://lnkd.in/eizgJAKZ #generativeAI #enterpriseAI #RAG #NVIDIA #Kubernetes #deepset #Haystack

LLMs have the potential to make Intelligent Document Processing faster, more accurate and more insightful than ever before. Organizations with document-heavy use cases need to understand how to incorporate LLM-based IDP into their workflows. Here, we look at three examples from industries that have already implemented high-value applications of LLM-based IDP in production. The examples come directly from our user base. https://lnkd.in/guiJ_beV

📅 Hear it straight from our experts on 11th June. Sign up link below ⬇ Join deepset Product manager Eliza as she explores practical AI applications in financial services with deepset’s tech. Learn to extract insights, speed up due diligence, automate tasks, and add value to your customers. https://hubs.li/Q02yzQQG0

I’m excited to be hosting a webinar on how companies in Real Estate, Investment Management, Venture Capital and Private Equity can incorporate Generative AI to extract insights faster, automate manual repetitive work and accelerate due diligence ! ⏳🚀 Sound interesting? Mark your calendar for June 11th and sign up below: https://hubs.li/Q02yzQRs0 #Finance #AI #Webinar #GenerativeAI #FinancialServices #deepset

Webinar Alert 📢 Join ex-Investment Manager and deepset Product Manager Eliza to learn about how you can leverage Generative AI in financial services to accelerate due diligence, automate manual repetitive work, and bring differentiated value to your customers faster. https://hubs.li/Q02yzJCW0

❗ Meet one of our newest team members, our new Solution Engineer at deepset, Mohamed Sriha ❗ Here's what he said when we asked: "Why deepset?” 🚀 ⭐ Why deepset: For someone like me who is passionate about exploring the endless possibilities of AI and NLP, joining deepset was an obvious choice. The company's commitment to pushing the boundaries of what's achievable in AI aligns perfectly with my desire to work on groundbreaking projects that make a real difference. At deepset, I will have the opportunity to work on projects that directly address businesses's needs and challenges. Moreover, my interactions with the team have shown that the company values collaboration, innovation, and excellence. I look forward to being part of deepset, where I can continue to learn, grow, and contribute my skills and expertise to meaningful projects. 👤 Bio: Before joining deepset, Mohamed served as a Machine Learning Engineer at a major bank in Chicago, where he leveraged machine learning techniques for credit risk modeling, money laundering, and fraud detection. In that role, he led the development and implementation of the automated Suspicious Activity Report narrative system, which streamlined the investigation process and saved the bank millions in costs. With his expertise in NLP and predictive modeling, Mohamed revolutionized how the bank identifies suspicious activities, making the process faster and more accurate. ❗ Welcome to deepset Mo❗

Join the Haystack livestream on May 30th with Qdrant and ragas to learn all about RAG evaluation and the power of #Haystack 🚀 Two great speakers who will share their invaluable insights: - Shahul ES from ragas: Integrating User Feedback into Your Evaluation Stack - Atita Arora from Qdrant: RAG Evaluation in Action: Building, Tackling Cold Start Challenges, and Optimizing Your RAG Register now 👉 https://lu.ma/7vc43x9q #NLP #LLM #opensource #Python #Haystack