Amazon Bedrock integration points
When building end-to-end generative AI applications, architects must follow best practices for security, performance, cost optimization, and latency reduction, as outlined in the AWS Well-Architected Framework pillars. They aid developers in weighing different choices and optimizations when creating end-to-end systems on AWS. More information on the AWS Well-Architected Framework can be found here: https://docs.aws.amazon.com/wellarchitected/latest/framework/welcome.html.
Many customers looking to build conversational interfaces such as chatbots, virtual assistants, or summarization systems integrate Amazon Bedrock’s serverless API with other services. Useful integration points include orchestration frameworks such as LangChain and AWS Step Functions for invoking Amazon Bedrock models via AWS Lambda.
As customers adopt LLMOps approaches to optimize building, scaling, and deploying LLMs for enterprise applications, these integration tools...
