agent/plan.md

{
    "data": {
        "steps": [
            {
                "description": "Procure data from the source",
                "tasks": {
                    "description": "Go to the relational database and procure the data we need. (1st find out what we need to procure from the KG/graph db? thus using the knowledge graph to curate the semantics used for the SQL query? dor can we just hard code the queries like mindsDB? or do we use it to instruct/populate these desctiptions for the agent to reference here(is that actually used as system_prompt-input/augmentation?)",
                    "agent": "data_procurement_agent"
                }
            },
            {
                "description": "Transform the data into a graph database",
                "tasks": {
                    "description": "run analysis on the data and transform it into a graph database",
                    "agent": "graph_transformation_agent"
                }
            }
        ]
    }
}