Build Production-Grade Data Apps Your Way

With Plotly AI, RAG, and LangChain

March 18, 12pm EDT

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Join us for an interactive webinar where we'll explore how to leverage Plotly AI to create powerful data applications. This session is designed for data scientists and developers looking to build more intelligent, responsive data applications.

We'll begin by exploring Plotly's latest AI capabilities that enable faster and more efficient data app development:

  • Introduction to Plotly Dash Enterprise 5.6 and its AI-enabled features
  • How Plotly AI's chat interface in App Studio transforms data insights into interactive Dash applications
  • Demonstration of multiple UX modes for rapidly building data visualizations

We'll showcase real-world examples of how these tools enable data scientists to streamline their workflow and create more intuitive data applications with less code.

Next, we'll build a dynamic data application that combines Plotly's capabilities with RAG:

  • Creating a data analysis app that allows users to visualize and summarize data using Plotly and Pandas
  • Implementing a Plotly AI agent that can build visualizations based on natural language requests
  • Integrating LangChain with Dash to create an intelligent assistant that can answer questions about your data
  • Building a RAG pipeline that retrieves relevant information from your datasets

You'll see how combining these technologies creates a powerful application that allows users to interact with data through natural language.

Our final segment will be dedicated to answering your questions about implementing AI in Dash applications:

  • Best practices for integrating LLMs with Plotly Dash
  • Strategies for optimizing performance in AI-enhanced data apps
  • How to customize the appearance and behavior of AI components in your Dash apps
  • Future developments in Plotly's AI capabilities

Whether you're just starting with Plotly or looking to enhance existing applications with AI capabilities, this webinar will provide you with practical insights and actionable techniques to build more intelligent data applications.

Meet the Speakers

Nathan Drezner

Nathan Drezner is a Technical Product Manager at Plotly with a background in managing Professional Services. He holds a Bachelor of Arts in Computer Science and Cultural Studies from McGill University and is passionate about data visualization, cultural analytics, and computational linguistics.

Cléa Aumont

Clea is the Manager of Professional Services at Plotly, leading the development of complex, visual dashboards for customers. With a background in both art and technology, she thrives in Plotly’s flexible, collaborative environment, where she can bring innovative ideas to life. Outside of work, she enjoys contemporary dance, reading, and traveling to France to visit family.

Matt Brown

Matt is a Senior Product Manager at Plotly, specializing in data analytics and visualization. With a strong background in supporting small start-ups, he helps teams accelerate development practices, enhance user engagement, drive product satisfaction, and grow customer bases. Prior to his career in Product Management, Matt designed and developed web applications, including the front-end architecture for a real-time global asset tracking system.