Part 12: AI Gateway Reloaded
This blog explores how Kong AI Gateway has been reloaded between versions 3.10 and 3.14, evolving from a secure AI integration layer into a powerful foundation for managing agentic AI workloads. Building on its enterprise-grade capabilities, Kong has significantly expanded its AI feature set with enhanced multi-provider support, improved resilience and fine-grained Model Context Protocol (MCP) access controls. The result is a more mature AI Gateway designed to support modern AI systems.Part 11: RAG team play with Spring AI
This blog talks about Kong’s potential for Retrieval-Augmented Generation (RAG) implementations. RAG is a technique that improves large language models by adding real-time, enterprise-specific data retrieval, improving response accuracy and relevance. The team play between Kong AI Gateway and Spring AI enables seamless integration and optimization of generative AI RAG workflows within enterprise environments.Part 10: AI Gateway
This blog details how Kong API Gateway functions as an AI Gateway, providing the necessary features to manage AI integrations securely and efficiently. Kong offers a complete, high-quality middleware solution that makes AI development easier by removing the need for many special tools and frameworks. It also supports language independence to avoid any limits. Additionally, the new AI plugins empower organizations to mitigate AI risks and uphold ethical AI practices.Visit NTT DATA
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