How to Build a NoCode AWS Bedrock LLM App on Flowise
In the age of cloud computing, NoCode solutions, and vector databases, the synergy between AWS Bedrock, Flowise AI, and SingleStoreDB is unlocking unparalleled potentials for creating dynamic LLM applications. Experience the future of app development as we explore the power of vector databases and witness the magic of building LLM apps without a single line of code.
Join us for an immersive and enlightening webinar. Michael Connor, head of AWS Consumer Package Goods, will present an in-depth demo showcasing the prowess of Flowise combined with AWS Bedrock, all running on SingleStoreDB. From product catalogs to call centers, delve into how this triad is revolutionizing the LLM app ecosystem.
What You’ll Learn:
Unveiling AWS Bedrock: Dive deep into the world of AWS Bedrock and its capabilities, especially when bolstered by the speed and efficiency of vector databases.
The Power of Vector Databases: Understand the significance of vector databases like SingleStoreDB in today's tech landscape and how they bolster the efficiency of LLM apps.
Introduction to Flowise AI: Grasp the essence of Flowise AI, the open-source drag & drop tool, enabling users to craft customized LLM flows visually.
Live Demo on SingleStoreDB: Witness a real-time demonstration by Michael Connor as he crafts an LLM app using Flowise, integrated with AWS Bedrock, all streamlined on SingleStoreDB.
Featured Speakers:
Henry Heng, CTO and Founder of Flowise AI
Michael Connor, Head of AWS Consumer Packaged Goods
Akmal Chaudhri, Senior Technical Evangelist at SingleStore
Henry Heng
CTO and Founder of Flowise AI
Michael Connor
Head of AWS Consumer Packaged Goods
Akmal Chaudhri
Senior Technical Evangelist at SingleStore