🌟 Session Overview 🌟
Session Name: Real-Time AI with Open Source Speaker: Timothy J Spann Session Description: While building it, we will explore the practical reasons for choosing specific indexes, determining what to vectorize, and querying multiple vectors—even when one is an image and the other is text. We will discuss the importance of filtering and how it is applied. Next, we will use our vector database of Air Quality readings to feed an LLM and generate accurate answers to Air Quality questions. I will demonstrate all the steps to build a RAG application using Milvus, LangChain, Ollama, Python, and Air Quality Reports. Finally, after the demos, I will answer questions, share the source code, and provide additional resources, including articles.
🚀 About Big Data and RPA 2024 🚀
Unlock the future of innovation and automation at Big Data & RPA Conference Europe 2024! 🌟 This unique event brings together the brightest minds in big data, machine learning, AI, and robotic process automation to explore cutting-edge solutions and trends shaping the tech landscape. Perfect for data engineers, analysts, RPA developers, and business leaders, the conference offers dual insights into the power of data-driven strategies and intelligent automation. 🚀 Gain practical knowledge on topics like hyperautomation, AI integration, advanced analytics, and workflow optimization while networking with global experts. Don’t miss this exclusive opportunity to expand your expertise and revolutionize your processes—all from the comfort of your home! 📊🤖✨
📅 Yearly Conferences: Curious about the evolution of QA? Check out our archive of past Big Data & RPA sessions. Watch the strategies and technologies evolve in our videos! 🚀 🔗 Find Other Years' Videos: 2023 Big Data Conference Europe https://www.youtube.com/playlist?list=PLqYhGsQ9iSEpb_oyAsg67PhpbrkCC59_g 2022 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEryAOjmvdiaXTfjCg5j3HhT 2021 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEqHwbQoWEXEJALFLKVDRXiP
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