-
Open Source: Bedrock LLM Gateway
Democratizing GenAI in the enterprise requires governed access to its capabilities. Even in 2026, many enterprises struggle with solutions that are either too monolithic or break at scale. This open-source gateway does very few things but does them well, inspired by building central GenAI platforms with some of the largest companies in the world.
-
Guidance: Multi-Tenant Knowledge Base Management for Scalable RAG Applications on AWS
Demonstrates how enterprises can implement a centralized system for managing knowledge bases across multiple tenant environments, automatically synchronizing and distributing content updates to connected RAG applications using serverless orchestration and tenant-isolated pipelines.
-
How to Build an Enterprise-Scale GenAI Gateway
Explores architectural approaches for constructing a generative AI gateway capable of handling enterprise-level workloads, covering integration with Amazon Bedrock, ECS, ElastiCache, and Lambda to create a scalable infrastructure for AI applications.
-
Announcing curAIted.dev
We built a website with high-quality insights into latest AI developments, collected by AI and curated by human experts. Many of my 27k+ LinkedIn followers ask me how I manage to stay up to date on AI. Regular reading of insights from trusted sources is one key aspect. CurAIted.dev replicates part of this process and makes it available to everyone.
-
Streamline machine learning workflows from local development to scalable experiments by using SageMaker AI and Hydra
Simple config management and a unified ML developer experience across environments and project stage.