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## Type of Change
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- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
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- [ ] **I have tested my changes thoroughly before submitting this PR**
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## Summary by CodeRabbit
* **Documentation**
* Deprecated legacy examples and added a migration guide mapping old
paths to new locations
* Added a comprehensive new-examples README detailing configurations,
pipelines, demos, and migration notes
* **New Features**
* Added many runnable examples and demos: database configs,
embedding/LLM setups, permissions and access-control, custom pipelines
(organizational, product recommendation, code analysis, procurement),
multimedia, visualization, temporal/ontology demos, and a local UI
starter
* **Chores**
* Updated CI/test entrypoints to use the new-examples layout
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: lxobr <122801072+lxobr@users.noreply.github.com>
98 lines
3.1 KiB
Python
98 lines
3.1 KiB
Python
import asyncio
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import cognee
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from cognee import visualize_graph
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from cognee.memify_pipelines.persist_sessions_in_knowledge_graph import (
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persist_sessions_in_knowledge_graph_pipeline,
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)
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from cognee.modules.search.types import SearchType
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from cognee.modules.users.methods import get_default_user
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from cognee.shared.logging_utils import get_logger
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logger = get_logger("conversation_session_persistence_example")
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async def main():
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# NOTE: CACHING has to be enabled for this example to work
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await cognee.prune.prune_data()
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await cognee.prune.prune_system(metadata=True)
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text_1 = "Cognee is a solution that can build knowledge graph from text, creating an AI memory system"
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text_2 = "Germany is a country located next to the Netherlands"
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await cognee.add([text_1, text_2])
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await cognee.cognify()
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question = "What can I use to create a knowledge graph?"
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search_results = await cognee.search(
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query_type=SearchType.GRAPH_COMPLETION,
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query_text=question,
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)
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print("\nSession ID: default_session")
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print(f"Question: {question}")
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print(f"Answer: {search_results}\n")
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question = "You sure about that?"
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search_results = await cognee.search(
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query_type=SearchType.GRAPH_COMPLETION, query_text=question
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)
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print("\nSession ID: default_session")
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print(f"Question: {question}")
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print(f"Answer: {search_results}\n")
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question = "This is awesome!"
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search_results = await cognee.search(
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query_type=SearchType.GRAPH_COMPLETION, query_text=question
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)
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print("\nSession ID: default_session")
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print(f"Question: {question}")
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print(f"Answer: {search_results}\n")
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question = "Where is Germany?"
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search_results = await cognee.search(
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query_type=SearchType.GRAPH_COMPLETION,
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query_text=question,
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session_id="different_session",
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)
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print("\nSession ID: different_session")
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print(f"Question: {question}")
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print(f"Answer: {search_results}\n")
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question = "Next to which country again?"
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search_results = await cognee.search(
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query_type=SearchType.GRAPH_COMPLETION,
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query_text=question,
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session_id="different_session",
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)
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print("\nSession ID: different_session")
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print(f"Question: {question}")
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print(f"Answer: {search_results}\n")
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question = "So you remember everything I asked from you?"
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search_results = await cognee.search(
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query_type=SearchType.GRAPH_COMPLETION,
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query_text=question,
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session_id="different_session",
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)
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print("\nSession ID: different_session")
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print(f"Question: {question}")
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print(f"Answer: {search_results}\n")
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session_ids_to_persist = ["default_session", "different_session"]
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default_user = await get_default_user()
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await persist_sessions_in_knowledge_graph_pipeline(
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user=default_user,
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session_ids=session_ids_to_persist,
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)
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await visualize_graph()
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if __name__ == "__main__":
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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loop.run_until_complete(main())
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finally:
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loop.run_until_complete(loop.shutdown_asyncgens())
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