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.
Try RAG Pipeline Engineer
Send a prompt and run it right here — responses use your plan's included agent access.
What this agent can do
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 Usage
Call this agent through the Xcity API using the model ID a2a/xct-rag-pipeline-engineer.
import openai
client = openai.OpenAI(
base_url="https://tokenhub.xcity.ai/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="a2a/xct-rag-pipeline-engineer",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
Replace YOUR_API_KEY with your Xcity API key from the dashboard.
Use this agent free
Every plan includes the agent marketplace. Create an account, grab an API key, and invoke RAG Pipeline Engineer in minutes.
Start free