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Demystifying GenAI: Build a ChatGPT App with Vector Store
Originally aired:
About the Session
With ChatGPT taking center stage since 2023, developers who have yet to explore Artificial Intelligence or Machine Learning may find the new terminologies overwhelming, while others may be eager to dive in and learn more. This workshop is designed for developers from all backgrounds (Java, JavaScript, Python, etc.), offering a hands-on introduction to building a ChatGPT-based app.
We'll begin with a quick overview of Generative AI, ChatGPT, and related terms. Then, we’ll move directly into the practical part: constructing a ChatGPT app using cutting-edge tools such as PgVector, which provides vector search functionality in the open-source PostgreSQL database.
Contents include:
- Vector Search with PgVector
- LLM Providers and APIs:
- For Python/JavaScript Developers: Langchain, Haystack
- For Java Developers: Spring AI, Langchain4j
- Integrating with ChatGPT models
- Generating embeddings
- Prompt engineering for improved outputs
- Understanding RAG (Retrieval Augmented Generation)
- Understanding Multi-Agentic Workflows
- Building generative AI applications
This session will provide you with the knowledge and practical skills needed to quickly create AI-driven applications with ChatGPT, helping you navigate the maze of AI terminology and frameworks.
Target Audience: This session is designed for Developers from various backgrounds (Java, JavaScript, Python) who want to gain hands-on experience building AI-powered applications. Back-end Developers will benefit from learning how to integrate AI models and vector stores into existing systems, while Software Architects may find value in understanding the tools and techniques for implementing generative AI features within broader application architectures.
Demystifying GenAI: Build a ChatGPT App with Vector Store
Originally aired:
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