Graphiti: A Python Library for Building Temporal Knowledge Graphs Using LLMs

Graphiti: A Python Library for Building Temporal Knowledge Graphs Using LLMs

The Challenge

The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate context becomes increasingly difficult, leading to incomplete or irrelevant results when retrieving information. This can affect the effectiveness of AI agents, especially in real-time applications.

Existing Solutions

Some existing solutions have attempted to address this problem using techniques like semantic search to recall stored facts. However, they often fall short when handling complex conversations and fail to model the relationships between different pieces of information properly. They also lack the ability to handle temporal changes, making them unsuitable for dynamic environments.

Introducing Graphiti

Meet Graphiti: a Python library for building temporal Knowledge Graphs designed to manage evolving relationships over time by capturing and recording changes in facts and relationships. It allows users to construct graphs where facts can dynamically change based on new data, helping maintain historical context crucial for AI applications like personal assistants. Graphiti is scalable, supporting the ingestion of both structured and unstructured data and combining semantic and graph searches for accurate results.

Key Features

  • Temporal awareness for tracking how relationships change over time
  • Episodic processing for ingesting data in discrete episodes and allowing incremental updates
  • Hybrid search combining full-text BM25 and semantic search for enhanced accuracy
  • Parallelizing LLM calls for efficient processing of large datasets

Value Proposition

Graphiti provides a dynamic and scalable solution to handling evolving information through temporal Knowledge Graphs. By capturing temporal changes and supporting advanced search techniques, it addresses the challenges faced by existing systems, enabling AI applications to maintain accurate, context-aware recall over time. This innovation can benefit various industries, including finance, customer service, and health, where constantly updated knowledge is essential for success.

AI Solutions for Your Company

If you want to evolve your company with AI, stay competitive, and use Graphiti to redefine your way of work. Identify automation opportunities, define KPIs, select an AI solution, and implement gradually. For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com or stay tuned on our Telegram channel or Twitter.

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