Kong Inc., a leader in cloud API technologies, has unveiled significant enhancements to its Kong AI Gateway, aiming to improve artificial intelligence (AI) governance and reduce inaccuracies, commonly known as hallucinations, in large language models (LLMs). These advancements include automated Retrieval-Augmented Generation (RAG) pipelines and infrastructure support for agentic workflows.
The integration of automated RAG pipelines into the Kong AI Gateway allows organizations to provide LLMs with real-time, contextually relevant data, thereby minimizing the risk of generating incorrect or misleading information. This approach enhances the reliability and accuracy of AI-generated outputs.
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Additionally, the updated gateway offers robust infrastructure for agentic workflows, enabling AI agents to operate more autonomously and efficiently within complex systems. This development supports the creation of dynamic AI-driven applications capable of adapting to evolving tasks and environments.
These enhancements underscore Kong‘s commitment to advancing AI technology by providing tools that ensure more accurate, reliable, and efficient AI operations across various industries.