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FCC for Scientists and Researchers

Welcome to the FCC Agent Team Framework resources for the research community. FCC provides structured workflows for literature review, data management, reproducibility, and collaborative research.

Resources

Why FCC for Research?

The FCC framework addresses common challenges in research workflows:

  1. Structured literature review: The RAG pipeline automates document ingestion, chunking, and semantic retrieval for literature surveys.
  2. FAIR compliance: Built-in support for Findable, Accessible, Interoperable, and Reusable data principles.
  3. Reproducibility: Deterministic simulation mode, trace recording, and event replay enable fully reproducible research pipelines.
  4. Collaboration: Human-in-the-loop sessions with scoring and approval gates formalize the peer review process.
  5. Knowledge graphs: Capture and query relationships between research concepts, methods, datasets, and findings.

Quick Start for Researchers

  1. Install FCC: GETTING_STARTED.md
  2. Explore Open Science personas: registry.by_category("open_science")
  3. Run the Open Science demo: DemoRunner.run("open_science")
  4. Set up your first RAG pipeline: Literature Review Agents
  • TUTORIALS_INDEX.md -- Learning resources catalog
  • Notebook 17_rag_pipeline.ipynb -- RAG pipeline tutorial
  • Notebook 16_knowledge_graphs.ipynb -- Knowledge graph tutorial
  • Streamlit demo_open_science.py -- Interactive Open Science demo

See also — other audience tiers and architecture