😎 Cocoon organizes your data warehouse using LLM agents, preparing it for analysis. Specifically, Cocoon helps you with data cleaning, data integration, and data modeling.

• 📚 Learn more about current features

• 👉 Check out the Youtube demo. Need support? Email: zh2408@columbia.edu

👉 Try this Google Collab Notebook

Cocoon is available on PyPI:

pip install cocoon_data

To get started, you need to connect to

• LLMs (e.g., GPT-4, Claude-3, Gemini-Ultra, or your local LLMs)
• Data Warehouses (e.g., Snowflake, Duckdb...)

from cocoon_data import *

# if you use Open AI GPT-4
openai.api_key  = 'xycabc'

# if you use Snowflake
con = snowflake.connector.connect(...)

query_widget, cocoon_workflow = create_cocoon_workflow(con)

# a helper widget to query your data warehouse
query_widget.display()

# the main panel to interact with Cocoon
cocoon_workflow.start_workflow()

🎉 You shall see the following on a notebook: