Build a Multi-Agent Research Pipeline with CrewAI
Set up a CrewAI pipeline where specialized agents handle different research tasks in parallel, one searches papers, one synthesizes findings, one checks contradictions, delivering a comprehensive brief automatically.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Define Your Agent Roles
In Python, define 3 agents in CrewAI: a Research Agent (searches papers and web), a Synthesis Agent (structures findings into themes), and a Critic Agent (identifies gaps and contradictions). Give each agent a clear role prompt.
Step 2
Assign Tools to Each Agent
Connect the Research Agent to Perplexity's API and Elicit's search. Connect the Synthesis Agent to Claude. Give the Critic Agent access to the full conversation history to identify where agents disagree.
Step 3
Define the Task Sequence
Create the CrewAI task sequence: research task runs first, synthesis runs on its output, critic reviews the synthesis and flags issues, final writer agent produces the formatted brief.
Step 4
Test on a Known Topic
Run the pipeline on a research question you already know the answer to. Evaluate the output quality and adjust agent prompts until the brief meets your quality bar.
Step 5
Monitor with LangSmith
Connect your CrewAI pipeline to LangSmith to trace every agent call. Use it to identify which agent is producing low-quality output and tune that agent's prompt specifically.
Time Required
1 day setup, then automated
Expected Result
A running Python pipeline where a research brief on any topic is automatically generated by a team of AI agents in under 10 minutes.
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