AI RAG Injector for Kong Konnect

Large Language Models (LLMs) often "hallucinate" or provide inaccurate answers because they lack access to your company's specific, up-to-date data. While Retrieval-Augmented Generation (RAG) is the standard solution, it typically forces developers to build and manage tedious data retrieval logic within every single application.

This video introduces the AI RAG Injector, a powerful feature in the Kong AI Gateway that solves this problem. Learn how you can shift the entire RAG pattern to the platform layer, removing the burden from developers and centrally enforcing consistency, security, and cost-efficiency.

✅ In this video, you will learn:

• Why traditional RAG implementation creates a burden for developers.
• How the Kong AI Gateway's RAG Injector simplifies and automates this process.
• How to offload complex logic from your applications to the AI gateway.

Learn more about the Kong AI Gateway: https://konghq.com/products/kong-ai-gateway
Read the documentation: https://developer.konghq.com/plugins/ai-rag-injector/

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