Demystifying GenAI: Building a ChatGPT App with Vector Store

With ChatGPT taking center stage since the beginning of 2023, developers who have not had a chance to work with any forms of Artificial Intelligence or Machine Learning systems may find themselves either intrigued by the “maze” of new terminologies, or some may be eager to learn more, while perhaps a smaller group may not actually want to get themselves into a territory that’s unknown to them.

This workshop is catered for Java developers as we start by having a quick introduction to GenAI, ChatGPT, and all of those new terminologies around generative AI. Then we’ll dive right into the hands-on part, about how we can construct a ChatGPT-based app quickly, using state-of-the-art tools such as PgVector, which provides vector extension to the popular open source Postgres.

Hands-on lab will cover:

  • Vector Search with PgVector
  • LLM providers and APIs using Langchain4j
  • Integrating with ChatGPT models
  • Generating embeddings
  • Prompt engineering
  • Building generative AI applications

Mary Grygleski

About Mary Grygleski

Mary is a Java Champion, and the AI Practice Lead at Callibrity, a consulting firm based in Ohio. She started as an engineer in Unix/C, then transitioned to Java around 2000 and has never looked back since then. After 20+ years of being a software engineer and technical architect, she discovered her true passion in developer and customer advocacy. Most recently she has serviced companies of various sizes such as IBM, US Cellular, Bank of America, Chicago Mercantile Exchange, in topic areas that included Java, GenAI, Streaming systems, Open source, Cloud and Distributed messaging systems. She is also a very active tech community leader outside of her day job. She is the President of the Chicago Java Users Group (CJUG), and the Chicago Chapter Co-Lead for AICamp.

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