至顶头条 on MSN
使用RAG和FastAPI构建生产就绪的AI智能体
本文介绍了如何构建可靠、可观测且成本可控的智能体AI系统。文章提供了一个实用的生产级部署蓝图,包含基于LangChain/LangGraph的推理循环、RAG向量搜索和重排序、模式验证等护栏机制、令牌计量和追踪、异步执行和超时控制,以及可容器化部署的FastAPI接口。涵盖了从推理循环、RAG到护栏、遥测和成本控制的完整生产工作流。
Future tech skills and in-demand IT skills through 2030 include AI, cybersecurity, cloud, and blockchain, guiding career growth in evolving tech landscapes.
XDA Developers on MSN
Ansible made my entire homelab reproducible with one command
Or at least it will, once I finish the slow process of documenting everything ...
Airbyte, creator of the open data movement platform, today announced it has joined the Linux Foundation's newly formed Agentic AI Foundation (AAIF) as a Silver Member, reinforcing its commitment to ...
Pulumi now natively supports Terraform and HCL, enabling direct HCL execution and state management within Pulumi Cloud.
The Dukes Engineering Style Guide is a production-ready coding standards framework designed for DevOps engineers, platform teams, and software development organizations who need consistent, secure, ...
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