61 lines
2.7 KiB
Python
61 lines
2.7 KiB
Python
import asyncio
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import cognee
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from cognee.shared.logging_utils import get_logger, ERROR
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from cognee.api.v1.search import SearchType
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from cognee.modules.pipelines import run_tasks, Task
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from cognee.tasks.experimental_tasks.node_set_edge_association import node_set_edge_association
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text_a = """
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Leading financial technology firms like Stripe, Square, and Revolut are redefining digital commerce by embedding AI
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into their payment ecosystems. Stripe leverages machine learning to detect and prevent fraud in real time,
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while Square uses predictive analytics to offer customized lending solutions to small businesses.
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Meanwhile, Revolut applies AI algorithms to automate wealth management services, enabling users to invest,
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save, and budget with unparalleled personalization and efficiency.
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"""
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text_b = """
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Pioneering AI companies such as OpenAI, Anthropic, and DeepMind are advancing self-supervised
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learning techniques that empower systems to autonomously evolve their cognitive capabilities.
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OpenAI's models interpret complex multimodal data with minimal human annotation, while Anthropic’s
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Constitutional AI approach refines alignment and safety. DeepMind continues to push boundaries with
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breakthroughs like AlphaFold, illustrating the power of AI to decipher intricate biological structures
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without exhaustive manual input.
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"""
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text_c = """
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MedTech innovators like Medtronic, Butterfly Network, and Intuitive Surgical are revolutionizing
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healthcare delivery through smart devices and AI-driven platforms. Medtronic's connected insulin
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pumps enable real-time glucose monitoring, Butterfly Network’s portable ultrasound devices bring
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diagnostic imaging to remote areas, and Intuitive Surgical’s da Vinci system enhances precision
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in minimally invasive surgeries. Together, these companies are reshaping clinical pathways and
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extending care beyond traditional hospital settings.
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"""
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node_set_a = ["AI_NODESET", "FinTech_NODESET"]
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node_set_b = ["AI_NODESET"]
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node_set_c = ["MedTech_NODESET"]
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async def main():
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await cognee.prune.prune_data()
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await cognee.prune.prune_system(metadata=True)
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await cognee.add(text_a, node_set=node_set_a)
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await cognee.add(text_b, node_set=node_set_b)
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await cognee.add(text_c, node_set=node_set_c)
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await cognee.cognify()
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tasks = [Task(node_set_edge_association)]
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pipeline = run_tasks(tasks=tasks)
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async for pipeline_status in pipeline:
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print(f"Pipeline run status: {pipeline_status.pipeline_name} - {pipeline_status.status}")
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print()
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if __name__ == "__main__":
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logger = get_logger(level=ERROR)
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loop = asyncio.new_event_loop()
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asyncio.run(main())
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