This presentation dives into the implementation of JSON as a primary data format for AI applications, underlining its flexibility and compatibility with diverse data structures. It challenges the conventional separation of vector search as a distinct database category, advocating for its seamless integration as a core feature within database platforms. We explore the capabilities of Multi-Model Databases, showcasing how multi-dimensional scaling can compete with or even outperform dedicated vector databases in terms of efficiency. The discussion extends to the decentralization of AI onto edge and mobile devices, making AI more accessible. The presentation also provides an overview of Full-Text Search, Vector Search, Machine Learning, and Generative AI, emphasizing a comprehensive overview of the different technologies for AI applications.

• Overview of ML, Gen AI, LLM, Vector Search, FTS
• Database Requirements Overview