Description for Graphiti
Graphiti is a Temporal Knowledge Graph framework that enables AI agents to learn and retain information over time, thereby enabling them to reason with evolving data for more personalized and context-aware interactions.
Features of Graphiti:
- Temporal Knowledge Graph: Enables AI agents to dynamically process and update knowledge, a process analogous to human learning.
- Evolving Data Adaptation: Ensures that AI responses remain pertinent by recognizing the impact of newly ingested data on existing information.
- Context-Aware AI Interactions: Improves chatbots and AI assistants by preserving user preferences and historical interactions.
- Long-Term Memory for AI: Establishes a foundation for AI systems to store and recall past events, thereby enhancing decision-making.
- Inspired by Microsoft GraphRAG: Employs comparable principles, but employs a distinctive architectural approach that is tailored to accommodate the growth of datasets.
Pricing for Graphiti
Use Cases for Graphiti
- Personalized AI Assistants: Guarantees that virtual assistants retain user preferences and evolve over time.
- Chatbots for Customer Support: Assists AI in recollecting previous customer interactions to enhance service.
- Recommendation Systems: Modifies product or content recommendations in accordance with evolving user behaviors.
- Sales and CRM Automation: Assists AI-powered sales tools in recollecting client preferences and history to enhance engagement.
- Healthcare AI Applications: Assists medical AI in the adaptation of treatment recommendations and the monitoring of patient history.
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