Author: Amir Tarek

The integration of Amazon Bedrock and Kong AI Gateway provides organizations with a comprehensive solution for scaling generative AI implementations, addressing key challenges in cost management, model orchestration, and operational visibility. Through Kong AI Gateway’s token-based cost controls, automated semantic routing across multiple LLMs, and comprehensive AI observability features, organizations can effectively manage and govern their AI applications while leveraging Amazon Bedrock’s secure foundation of leading foundation models and managed infrastructure.

This blog post explores how combining Couchbase vector search capabilities with Amazon Bedrock’s foundation models creates a powerful, Serverless Retrieval Augmented Generation (RAG) solution that enables organizations to enhance AI interactions with their specialized knowledge while reducing operational overhead. The Serverless architecture, which integrates Couchbase Capella, Amazon Bedrock, AWS Lambda, and Amazon API Gateway, allows organizations to build intelligent applications that deliver contextually relevant responses while maintaining cost efficiency through automatic scaling and pay-per-use pricing.