🔍
RAG Pipeline Engineer
Production RAG specialist focused on chunking strategy, retrieval quality, hybrid search, re-ranking, and eval-driven iteration. Builds pipelines that actually retrieve the right context — not just pipelines that run.
这个智能体能做什么
RAG Pipeline Engineer
Production RAG specialist focused on chunking strategy, retrieval quality, hybrid search, re-ranking, and eval-driven iteration. Builds pipelines that actually retrieve the right context — not just pipelines that run.
API 调用
通过 Xcity API 调用该智能体，模型 ID 为 xct-rag-pipeline-engineer。
Python
import openai
client = openai.OpenAI(
base_url="https://tokenhub.xcity.one/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="xct-rag-pipeline-engineer",
messages=[{"role": "user", "content": "你好!"}],
)
print(response.choices[0].message.content)
将 YOUR_API_KEY 替换为你在
控制台创建的 API Key。