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Collaborative Technical Research Crew

Design and implement a multi-agent system using CrewAI to collaboratively research and synthesize complex technical topics, inspired by detailed historical accounts like RISC-V development or DeepMind documentaries. The crew will consist of specialized agents (e.g., Researcher, Analyst, Technical Writer) working together. They will leverage Gemini 2.5 Pro via Vertex AI for deep understanding and content generation, utilizing ChromaDB as a shared knowledge base for storing research findings and contextual embeddings. Prefect will orchestrate the end-to-end research workflow, managing task dependencies and ensuring robust execution of the multi-agent collaboration.

Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Design and implement a multi-agent system using CrewAI to collaboratively research and synthesize complex technical topics, inspired by detailed historical accounts like RISC-V development or DeepMind documentaries. The crew will consist of specialized agents (e.g., Researcher, Analyst, Technical Writer) working together. They will leverage Gemini 2.5 Pro via Vertex AI for deep understanding and content generation, utilizing ChromaDB as a shared knowledge base for storing research findings and contextual embeddings. Prefect will orchestrate the end-to-end research workflow, managing task dependencies and ensuring robust execution of the multi-agent collaboration.

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Learning goals

What you should walk away with

Master CrewAI for defining agent roles, goals, and tasks, orchestrating complex, sequential, and parallel workflows among collaborating agents.

Integrate `Gemini 2.5 Pro` as the core LLM for CrewAI agents via Google Cloud's Vertex AI, understanding authentication and API usage.

Implement a shared knowledge base for your CrewAI agents using ChromaDB, enabling agents to store, retrieve, and share research findings efficiently.

Design and deploy a Prefect flow to manage the lifecycle of your CrewAI system, including triggering research tasks and monitoring progress.

Develop custom tools for CrewAI agents (e.g., a 'Web Search Tool', 'Document Analyzer Tool', 'Report Generator Tool') to enhance their capabilities.

Apply advanced prompt engineering for `Gemini 2.5 Pro` to guide agents in complex reasoning, summarization, and technical writing.

Build an evaluation framework to assess the factual accuracy, completeness, and coherence of the collaboratively generated research reports.

Start from your terminal
$npx -y @versalist/cli start collaborative-technical-research-crew

[ok] Wrote CHALLENGE.md

[ok] Wrote .versalist.json

[ok] Wrote eval/examples.json

Requires VERSALIST_API_KEY. Works with any MCP-aware editor.

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