Is Vector the New JSON? How AI and LLMs Are Reshaping Data

JSON revolutionized data storage and exchange, becoming the universal format for structuring and sharing information across applications, APIs, and databases. Today, vectors are following a similar trajectory—emerging as the fundamental data structure for AI-driven applications. But what exactly is a vector, and why is it becoming as ubiquitous as JSON?

In this talk, we’ll explore:

• What is a Vector? Understanding how high-dimensional numerical representations store meaning in the context of Apache Pinot.
• AI’s Growing Reliance on Vectors – From recommendation systems to search engines, how AI uses vector embeddings to understand relationships between words, images, and concepts.
• The Rise of LLMs & English as the New Programming Language – With Large Language Models (LLMs) enabling natural language interfaces, vector embeddings are powering a shift where human-friendly queries drive powerful computation.
• Vectors as the Backbone of AI-Powered Databases – How modern databases are evolving to support real-time vector search, enabling applications like semantic search, RAG (Retrieval-Augmented Generation), and AI-driven personalization.

Just as JSON became the standard for structuring and exchanging data in the digital era, vectors are becoming the foundation of AI-driven applications. Join us to explore how vector embeddings, combined with the power of LLMs, are shaping the future of human-computer interaction.

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