Live Code: Generating Custom Synthetic Data with LangChain Community (Seed Examples Explained!)

In this video, I walk you through my custom use case for generating synthetic data using LangChain Community! Unlike many tutorials that only showcase slides, I actually run the complete code—from taking seed examples (with text and label) to generating real synthetic data that isn’t covered in the official docs. Learn how I: • Prepare seed examples (Text & Label) using a DataFrame • Dynamically create prompts and extra instructions • Run and troubleshoot the complete code in real-time • Overcome issues other tutorials overlook If you’re looking to build robust AI applications or need synthetic data for custom classification tasks, this video is for you! Don’t forget to like, comment, and subscribe for more live coding tutorials and insights into working with LangChain and LLMs.