46c4463cb2
<!-- .github/pull_request_template.md --> ## Description <!-- Provide a clear description of the changes in this PR --> ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin. --------- Co-authored-by: vasilije <vas.markovic@gmail.com> Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
import os
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import asyncio
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import pathlib
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from cognee import config, add, cognify, search, SearchType, prune, visualize_graph
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async def main():
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data_directory_path = str(
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pathlib.Path(os.path.join(pathlib.Path(__file__).parent, ".data_storage")).resolve()
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)
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# Set up the data directory. Cognee will store files here.
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config.data_root_directory(data_directory_path)
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cognee_directory_path = str(
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pathlib.Path(os.path.join(pathlib.Path(__file__).parent, ".cognee_system")).resolve()
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)
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# Set up the Cognee system directory. Cognee will store system files and databases here.
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config.system_root_directory(cognee_directory_path)
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# Prune data and system metadata before running, only if we want "fresh" state.
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await prune.prune_data()
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await prune.prune_system(metadata=True)
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text = "The Python programming language is widely used in data analysis, web development, and machine learning."
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# Add the text data to Cognee.
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await add(text)
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# Cognify the text data.
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await cognify()
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# Or use our simple graph preview
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graph_file_path = str(
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pathlib.Path(
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os.path.join(pathlib.Path(__file__).parent, ".artifacts/graph_visualization.html")
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).resolve()
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)
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await visualize_graph(graph_file_path)
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# Completion query that uses graph data to form context.
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graph_completion = await search(
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query_text="What is python?", query_type=SearchType.GRAPH_COMPLETION
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)
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print("Graph completion result is:")
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print(graph_completion)
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# Completion query that uses document chunks to form context.
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rag_completion = await search(
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query_text="What is Python?", query_type=SearchType.RAG_COMPLETION
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)
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print("Completion result is:")
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print(rag_completion)
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# Query all summaries related to query.
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summaries = await search(query_text="Python", query_type=SearchType.SUMMARIES)
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print("Summary results are:")
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for summary in summaries:
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print(summary)
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chunks = await search(query_text="Python", query_type=SearchType.CHUNKS)
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print("Chunk results are:")
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for chunk in chunks:
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print(chunk)
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if __name__ == "__main__":
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asyncio.run(main())
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