Large Language Models (LLMs) are generally knowledgeable, but they don't know your domain. In this session, David Jones-Gilardi, developer relations engineer at DataStax, will build a visual GenAI workflow powered by a vector database that enables seamless vector storage and search. He'll create a real-time Retrieval Augmented Generation (RAG) pipeline, dynamically enhancing LLMs with domain-specific knowledge.
Along the way, he’ll also use GitHub, Codespaces, and GitHub Copilot to create a fully functional GenAI app to showcase an experience that learns as your data grows. See how to level up your GenAI development process using these innovative tools.
Special thanks to our sponsors
DataStax
Gold
Overview
DataStax is the company that helps developers and companies successfully create a bold new world through GenAI. We offer a one-stop generative AI stack with everything needed for a faster, easier, path to production for relevant and responsive GenAI applications. DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, so we work with developers’ existing stacks of choice. With DataStax, anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, Skypoint, and many more rely on DataStax. Learn more at DataStax.com
More info
Resources
Sessions
Product Demo
AI
Level 100: Introductory
Applicable to all
Copilot
Open Source Developers or Maintainers
Startups
Educators
In-person
Recorded
On-demand
AI
Open Source
Software Engineering
Productivity
AI
AI
Yes
AI Combo
Product Demo
Learn how to augment LLMs with domain-specific knowledge in real time.
Gain practical insight into building GenAI workflows with Langflow.
Discover how to set up and use DataStax Astra DB for seamless vector storage and search.
https://youtu.be/LG_W-z7hWvU
3:00 p.m. Tuesday, Oct 29
Tuesday, Oct 29