Bedrock Agent in Python via AWS CDK with Bright Data’s SERP API
Blog post from Bright Data
The AWS Cloud Development Kit (CDK) is an open-source framework that allows developers to define and deploy cloud infrastructure as code using languages such as TypeScript, Python, Java, C#, and Go, and it integrates with AWS services like CloudFormation. The article explores how to use AWS CDK to build AI agents for Amazon Bedrock, highlighting the importance of integrating web search capabilities through a Retrieval-Augmented Generation (RAG) setup to ensure the agents access current and reliable data. By leveraging Bright Data's SERP API, developers can build AI agents that perform real-time web searches without dealing with challenges like handling JavaScript rendering, CAPTCHAs, and IP blocks. The guide details a step-by-step process to create an AWS Bedrock AI agent with real-time web search capabilities, using AWS CDK in Python, which includes setting up AWS CLI, CDK, and Bright Data accounts, securely managing secrets with AWS Secrets Manager, defining a Lambda function for API integration, and deploying the application via AWS CDK. This setup results in an AI agent capable of retrieving and processing up-to-date information, providing more accurate responses than standard language models that lack recent data.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Serverless | 51 | 852 | 185 | 86 | +3% |
| AI Agents | 39 | 4,711 | 786 | 221 | +28% |
| Secrets Management | 15 | 1,471 | 226 | 98 | +14% |
| RAG | 3 | 1,167 | 195 | 86 | +2% |
| LLM | 2 | 5,048 | 855 | 225 | +5% |
| Real-time | 1 | 5,379 | 1,225 | 279 | -24% |
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