AI

Deploy AI at Scale With YugabyteDB’s First Agentic AI Application and Extensible Vector Search

Deploy AI at Scale With YugabyteDB’s First Agentic AI Application and Extensible Vector Search

Yugabyte’s next-generation agentic AI application, Performance Advisor for YugabyteDB Aeon, uses AI-first observability to deliver an agentic architecture and enable automated anomaly detection and optimization.
YugabyteDB’s new extensible indexing framework is designed to support the seamless integration of state-of-the-art vector indexing libraries and algorithms, augmenting the capabilities offered by pgvector.

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Multimodal Search with PostgreSQL pgvector

Multimodal Search with PostgreSQL pgvector

Large language models (LLMs) have evolved beyond generating text responses to interpreting text prompts. Discover how you can use a multimodal LLM to search your AI applications with PostgreSQL pgvector. This blog examines the architecture, database schema, and code required to build an application that searches recipes by both text and image.

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The Future of Money and Financial Services

The Future of Money and Financial Services

The future of finance is being shaped by five key trends: ethical AI, quantum computing and encryption, seizing the opportunities of real-time payments, the growth of Latin America, and partnerships for innovation and growth. These trends highlight the industry’s drive towards integrating advanced technology while ensuring security and meeting the evolving demands of global /distributed finance.

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