From Words to Wisdom - How LLMs and Vector Databases Revolutionize Data

Explore the transformative relationship between large language models and vector databases in this comprehensive conference talk from GeeCON 2025. Discover how LLMs like ChatGPT generate human-like text and maintain context through vectorization, where text transforms into high-dimensional mathematical representations that capture semantic meaning beyond individual words. Learn how these vectors enable efficient storage, comparison, and retrieval of information, allowing AI systems to perform fast similarity searches and find relevant information even without exact matches. Understand the crucial applications in contextual search, recommendation systems, and natural language understanding. Follow along with practical demonstrations using Kotlin and LangChain4j to see how text converts into vectors, gets stored in databases, and enables real-time retrieval of relevant information, providing hands-on insights into revolutionizing data processing and search capabilities.