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* Makefile and format * fix podcast stuff * refactor: update import statement for transcript_parser in podcast_runner.py * format and linting * chore: Update import statements and remove unused code in maintenance module
51 lines
1.2 KiB
Markdown
51 lines
1.2 KiB
Markdown
# Graphiti (LLM generated readme)
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Graphiti is a Python library for building and managing knowledge graphs using Neo4j and OpenAI's language models. It provides a flexible framework for processing episodes of information, extracting semantic nodes and edges, and maintaining a dynamic graph structure.
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## Features
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- Asynchronous interaction with Neo4j database
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- Integration with OpenAI's GPT models for natural language processing
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- Automatic extraction of semantic nodes and edges from episodic data
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- Temporal tracking of relationships and facts
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- Flexible schema management
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## Installation
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(Add installation instructions here)
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## Quick Start
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```python
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from graphiti import Graphiti
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# Initialize Graphiti
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graphiti = Graphiti("bolt://localhost:7687", "neo4j", "password")
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# Process an episode
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await graphiti.process_episode(
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name="Example Episode",
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episode_body="Alice met Bob at the coffee shop.",
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source_description="User input",
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reference_time=datetime.now()
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)
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# Retrieve recent episodes
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recent_episodes = await graphiti.retrieve_episodes(last_n=5)
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# Close the connection
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graphiti.close()
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```
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## Documentation
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(Add link to full documentation when available)
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## Contributing
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(Add contribution guidelines)
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## License
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(Add license information)
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