[VIRTUAL] No Pain, All Chain: Unlock your Generative AI Apps with Langchain

In this walkthrough, we’ll introduce Langchain, a specialized library designed for Language Model applications, and demonstrate how it can enhance your projects. We’ll also explore the role of embeddings in representing text data in vector spaces, providing practical insights for engineers. Furthermore, we’ll discuss the critical role of vector databases in efficiently managing and querying large collections of embeddings. Then we will tie it all together in a practical Retrieval-Augmented-Generation Example Application.

This will be a virtual event hosted on Google meet.

Agenda:

• 5:30 PM - Welcome
• 5:40 PM - Presentation

About our Speaker:
Jocelyn Matsuo has journeyed through the labyrinthine world of professional software engineering (generally of the web variety). From humble beginnings as a video editor with a theater background, Jocelyn has ascended to leadership as an engineering manager. She is now on a side quest to leverage Language Models’ non-determinism and thrive in the face of their ever changing product landscape.