Graphiti

Created By
Joseperko1982a year ago
Customized Graphiti MCP server for brainstorming knowledge graphs with specialized entity types for ideas, themes, stakeholders, constraints, and creative collaboration
Overview

What is Graphiti?

Graphiti is a framework designed for building and querying temporally-aware knowledge graphs, specifically tailored for AI agents operating in dynamic environments. It allows for the integration of user interactions and enterprise data into a coherent, queryable graph.

How to use Graphiti?

To use Graphiti, install the package via pip or poetry, set up a Neo4j database, and configure your environment with the necessary API keys. You can then connect to the database and start adding episodes to the graph.

Key features of Graphiti?

  • Real-time incremental updates for dynamic data integration.
  • Bi-temporal data model for accurate point-in-time queries.
  • Hybrid retrieval methods combining semantic, keyword, and graph-based searches.
  • Custom entity definitions for flexible ontology creation.
  • Scalable architecture suitable for large datasets.

Use cases of Graphiti?

  1. Building interactive AI applications that require real-time data updates.
  2. Facilitating state-based reasoning and task automation for AI agents.
  3. Querying complex, evolving data with various search methods.

FAQ from Graphiti?

  • What is the primary use of Graphiti?

Graphiti is primarily used for dynamic data management and building knowledge graphs for AI applications.

  • Is Graphiti open-source?

Yes! Graphiti is open-source and available on GitHub.

  • What are the system requirements for Graphiti?

Graphiti requires Python 3.10 or higher and Neo4j 5.26 or higher.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Joseperko1982
Star
0
Language
Python
License
Apache-2.0 license

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