Unverified50% confidenceSolutionExact time
工业AI Agent通常采用RAG将厂商技术文档作为知识库，结合Function Calling驱动TIA Openness API执行操作，形成LLM+领域知识库+工具调用的Agent架构
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
DeTech Agent实测：AI自动生成博途PLC程序与V90伺服控制
Related Claims
UnverifiedSkill-Agent integrates complete RAG knowledge base functionality, allowing developers to connect private documents and enterprise knowledge base data to the Agent system.74% similarUnverifiedAgent development capabilities have become a core competitive advantage for AI positions, while basic RAG applications and simple API calls are no longer scarce skills.72% similarUnverifiedEnterprise-level customer service Agents are one of the most widely deployed Agent application scenarios, typically combining RAG to build enterprise private knowledge bases alongside intent recognition and multi-turn dialogue management.71% similarUnverifiedAgent Skill and RAG both fall under the category of external knowledge augmentation, but Agent Skill injects structured knowledge into context in a deterministic manner using expert rule injection, making it more suitable for strongly normative domain knowledge such as Web standards.70% similarUnverified科研自动化 Agent 通常基于 LLM 的工具调用与任务规划能力，结合代码执行沙箱、文件系统访问、学术检索及 GitHub/Hugging Face API 等外部工具，形成感知-规划-执行-反馈的闭环70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/611303API
curl https://kongchang.com/api/v1/knowledge/claims/611303MCP
get_claim(id=611303)