Frequently Asked Questions

What is Zep AI, and how does it enhance AI agents?

Zep AI is a memory layer that continuously learns from user interactions and business data. By creating a dynamic knowledge graph, Zep gives AI agents a comprehensive understanding of users, enabling personalized, accurate, and efficient responses.

How does Zep compare to Retrieval-Augmented Generation (RAG) solutions?

Zep goes beyond static document retrieval by building a persistent memory layer. Its knowledge graph tracks relationships and facts over time, ensuring agents have deeper, evolving context to make better decisions.

What is a knowledge graph, and why does Zep use one?

A knowledge graph is a network of facts and relationships that Zep automatically constructs from chat and business data. It evolves as new information is added or old facts change, providing a clear, time-aware understanding of users and their interactions.

Does Zep require a specific AI stack or platform?

No, Zep is stack-agnostic. It integrates with any AI stack or platform, offering flexible APIs to work alongside your existing tools and workflows.

How does Zep handle changes in user data over time?

Zep updates its knowledge graph as facts evolve. For example, if a user’s preferences change, Zep replaces outdated facts with the latest information, ensuring your AI agents always work with accurate and relevant data.

What types of data can Zep integrate?

Zep works with structured data (e.g., JSON, CRM records) and unstructured data (e.g., chat messages). This flexibility allows it to create a holistic view of users by combining various sources of information.

What are the key benefits of using Zep?

Zep reduces hallucinations, improves recall, and personalizes interactions by equipping AI agents with comprehensive, evolving memory. It saves costs on LLM calls and streamlines AI applications by automating data integration and context management.