Graphiti (LLM generated readme)

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.

Features

• Asynchronous interaction with Neo4j database
• Integration with OpenAI's GPT models for natural language processing
• Automatic extraction of semantic nodes and edges from episodic data
• Temporal tracking of relationships and facts
• Flexible schema management

Installation

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Quick Start

from graphiti import Graphiti

# Initialize Graphiti
graphiti = Graphiti("bolt://localhost:7687", "neo4j", "password")

# Process an episode
await graphiti.process_episode(
    name="Example Episode",
    episode_body="Alice met Bob at the coffee shop.",
    source_description="User input",
    reference_time=datetime.now()
)

# Retrieve recent episodes
recent_episodes = await graphiti.retrieve_episodes(last_n=5)

# Close the connection
graphiti.close()

Documentation

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Contributing

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License

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