SingleStore

🔔 Heads up! We're heading to Amazon Web Services (AWS) re:Invent 2024! Join us to explore the power of SingleStore and Amazon Bedrock, and discover how to use these platforms to enhance your data management and make more informed decisions at scale. 👋 Our team is eager to connect, share insights, and discuss how we can elevate your data management journey at booth 1179. Don’t miss out—come chat with us and let’s innovate together! 🎟️ Register today: https://msql.co/3YAGM7h

Know the approaches to build context-aware #GenAI applications. RAG excels when dealing with large external knowledge bases or requiring real-time processing, enabling efficient information retrieval and context-aware responses. Fine-tuning proves invaluable for specialized domain knowledge, allowing models to excel in specific fields with unique terminologies and nuanced requirements. Prompt engineering emerges as a powerful technique for guiding model behavior, particularly when working with limited training data or creating personalized interactions. Long context language models shine in scenarios involving rapidly changing information or complex reasoning tasks that demand extensive contextual understanding. Multimodal models become essential when processing mixed data types, including text, images, audio, and video, providing versatile solutions for complex information processing needs. The key is matching the right approach to specific use cases: RAG for large datasets, fine-tuning for domain specialization, prompt engineering for precise behavior control, long context models for dynamic information, and multimodal models for diverse data types. Resource constraints, processing speed, data complexity, and interaction requirements all play critical roles in determining the most appropriate AI strategy. By carefully selecting and combining these approaches, organizations can develop more intelligent, efficient, and context-aware AI solutions/applications. Here is my article that discusses some of these approaches in details: https://lnkd.in/gVuHdQ-d Know more about RAG in my step-by-step video: https://lnkd.in/gsz_cXfv Also, no matter what approach you choose, having a robust data platform for your GenAI applications is very essential. I recommend using SingleStore as your data platform that supports hybrid search, fast data ingestion, real-time analytics, supports all types of data and much more. Try SingleStore for FREE: https://lnkd.in/gqrNhSue

New to SingleStore? Build Real-Time Apps with Ease! 🚀 A comprehensive step-by-step guide is now available for getting started with SingleStore Helios Cloud—perfect for anyone eager to dive into real-time application development. This guide will walk you through: ✅ Signing up and setting up a FREE trial ✅ Ingesting your first dataset with ease ✅ An introduction to leveraging SingleStore's SQL query engine Whether you’re new to the platform or looking to enhance your data-driven projects, this guide covers the essentials to get you up and running quickly. Ready to start building? Read the full article 👉 https://msql.co/3OaPsNa

Happy Thanksgiving from SingleStore! 🍂 As we gather to celebrate this season of gratitude, we want to take a moment to express our heartfelt thanks to the people who make everything we do possible: 🌟 To our customers: Your trust and partnership drive us to innovate and deliver the best solutions every day. Thank you for choosing us to be part of your journey. 🤝 To our partners: Collaboration is at the heart of everything we do. Thank you for working alongside us to create shared success and deliver value to those we serve. 💜 To our incredible team: Behind every milestone, every release, and every solution is a team of talented, dedicated individuals. Your hard work, creativity, and passion are what make SingleStore stand strong and continue to grow. This Thanksgiving, we're reminded that our strength lies in the connections we've built and the people who make them possible. Here's to continuing to grow, innovate, and achieve together. From all of us at SingleStore, we wish you a warm, joyful, and safe Thanksgiving!

Can AI thrive on user-generated data? In May, OpenAI revealed a partnership with Reddit to train its language models on the platform's vast repository of user-generated content, pushing AI to understand real-world complexities. But this raises an important challenge: How do we keep AI accurate, fair, and resilient when the data is noisy and sometimes biased? 💭 Here’s the key: Diverse data is essential, but we need smart strategies to manage the risks. In this article, Rahul Rastogi, SingleStore's CIO, shares 5 approaches to safely integrate UGD into AI. Curious how to do it right? Dive into the full article! ⬇️ https://msql.co/3Zqhlag

Double tap if you're ready for the Gen AI Meetup on December 6th in Bengaluru! Join our Technology Evangelist, Pavan Belagatti, to learn about designing robust Retrival-Augmented Generation (RAG) systems and how LangChain integrates seamlessly with SingleStore. RSVP now 👉 https://msql.co/48ZFEPz | DevRelSquad

AWS and SingleStore have partnered to simplify the management of real-time data and high-speed analytics for businesses. Watch on demand 👉 https://msql.co/3V4PolX During this presentation, AWS Enterprise Technologist, Anand Desikan, emphasized the strategic collaboration between SingleStore and AWS, aiming to equip enterprises with cutting-edge AI capabilities. Drawing from his extensive experience as both a customer and a leader at AWS, Anand shared valuable insights into how this partnership is driving innovation in generative AI for businesses. Register for #AWSreInvent2024 today 👉 https://msql.co/3Za6am6 and meet with our experts and discover how to build real-time AI applications with YOUR data and deploy them to AWS. See you soon! 👋

How do you scale your data infrastructure to handle some of the most extensive identity datasets in the world? 🧐 🌎 Kannan D.R., Chief Architect at LiveRamp, shared how the company has done just that. Focusing on leveraging SingleStore for real-time processing, Kannan detailed the challenges and solutions involved in building a scalable identity graph that supports data collaboration at petabyte scale. Tune in now 👉 https://msql.co/4hDg6vv

AI-Powered Personalized Shopping & Reco Engine with OpenAI CLIP This webinar will delve into how AI, particularly OpenAI's CLIP, is revolutionizing the way we approach e-commerce, making it possible to tailor recommendations in real-time to each user’s unique preferences.

Struggling with querying arrays in MongoDB®? You're not alone. Storing data in arrays is common, but querying them effectively can be tricky. Our latest guide breaks down everything you need to know—from simple dot notation to powerful operators like $elemMatch and $all. 🔎 We’ll also cover performance optimization techniques to boost your queries. This guide will help you master array queries in MongoDB® 👉 https://msql.co/495AMZ3 #ArrayQuery #Data #SingleStore