cognite-ai 0.1.1

A set of tools for working with Cognite Data Fusion in Python

cognite-ai

A set of AI tools for working with CDF in Python.

Smart data frames

Chat with your data using LLMs. Built on top of PandasAI If you have loaded data into a Pandas dataframe, you can run

Install the package

%pip install cognite-ai

Chat with your data

from cognite.ai import load_pandasai
SmartDataframe, SmartDatalake = await load_pandasai()

workorders_df = client.raw.rows.retrieve_dataframe("tutorial_apm", "workorders", limit=-1).to_pandas()
workitems_df = client.raw.rows.retrieve_dataframe("tutorial_apm", "workitems", limit=-1).to_pandas()
workorder2items_df = client.raw.rows.retrieve_dataframe("tutorial_apm", "workorder2items", limit=-1).to_pandas()
workorder2assets_df = client.raw.rows.retrieve_dataframe("tutorial_apm", "workorder2assets", limit=-1).to_pandas()
assets_df = client.raw.rows.retrieve_dataframe("tutorial_apm", "assets", limit=-1).to_pandas()

from cognite.client import CogniteClient
client = CogniteClient()

smart_lake_df = SmartDatalake([workorders_df, workitems_df, assets_df, workorder2items_df, workorder2assets_df], cognite_client=client)
smart_lake_df.chat("Which workorders are the longest, and what work items do they have?")


s_workorders_df = SmartDataframe(workorders_df, cognite_client=client)
s_workorders_df.chat('Which 5 work orders are the longest?')