Graphiti
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Graphiti
Overview :
Graphiti is a technology model focused on building dynamic temporal knowledge graphs, designed to handle constantly changing information and the evolution of complex relationships. By combining semantic search and graph algorithms, it supports extracting knowledge from unstructured text and structured JSON data and can perform point-in-time queries. Graphiti is the core technology of the Zep memory layer, supporting long-term memory and state-based reasoning. It is suitable for application scenarios requiring dynamic data processing and complex task automation, such as sales, customer service, healthcare, finance, and more.
Target Users :
Graphiti is suitable for application scenarios that require processing dynamic data and complex relationship evolution, such as intelligent assistants, automated task execution, and knowledge management systems. It is particularly well-suited for domains requiring long-term memory and state-based reasoning, such as sales, customer service, healthcare, and finance. It can help enterprises or developers build applications with intelligent interaction and automation capabilities.
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Use Cases
Build an intelligent customer service assistant by ingesting customer interaction data and business system data to provide real-time knowledge support to customer service representatives.
Develop an automated task execution agent, utilizing a dynamic knowledge graph for reasoning and executing complex tasks.
In the healthcare domain, combine patient medical records and real-time data to provide physicians with knowledge graph-based辅助诊断 suggestions.
Features
Supports temporal awareness, enabling the tracking of changes in facts and relationships over time, supporting point-in-time queries.
Supports event-driven processing, ingesting data in the form of discrete events, preserving data provenance, and progressively extracting entities and relationships.
Combines semantic and BM25 full-text search, enabling the reordering of results based on the distance from the central node.
Supports large-scale data processing, maintaining the order of events through parallel processing.
Supports ingesting unstructured text and structured JSON data.
Supports multiple search methods, including time-based, full-text, semantic, and graph algorithm-based searches.
Supports the construction and querying of dynamic knowledge graphs, enabling the processing of complex, constantly evolving relationships.
Supports integration with business systems (such as CRM and billing platforms) to provide dynamic data for assistants and agents.
How to Use
Visit the official Graphiti documentation page to understand the product's features and usage methods.
Choose the appropriate installation method based on your needs, such as local deployment or using cloud services.
Prepare data sources, including unstructured text and structured JSON data.
Use the APIs or tools provided by Graphiti to ingest data into the knowledge graph.
Query the knowledge graph using semantic search, graph algorithms, and other methods to obtain the required information.
Combine with business logic to develop applications or integrate into existing systems.
Debug and optimize as needed to ensure the accuracy and performance of the knowledge graph.
Regularly update data sources to maintain the dynamism and timeliness of the knowledge graph.
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