Zep: A long-term memory store for LLM applications

Quick Start | Documentation | LangChain Support | Discord
www.getzep.com

 

Easily add relevant documents, chat history memory & rich user data to your LLM app's prompts.

 

 

Vector Database with Hybrid Search

Populate your prompts with relevant documents and chat history. Rich metadata and JSONPath query filters offer a powerful hybrid search over texts.

Batteries Included Embedding & Enrichment

• Automatically embed texts, or bring your own vectors.
• Enrichment of chat histories with summaries, named entities, token counts. Use these as search filters.
• Associate your own metadata with documents & chat histories.

Fast, low-latency APIs and stateless deployments

• Zep’s local embedding models and async enrichment ensure a snappy user experience.
• Storing documents and history in Zep and not in memory enables stateless deployment.

Python & TypeScript/JS SDKs, LlamaIndex and LangChain Support, Edge Deployment

• Python & TypeScript/JS SDKs for easy integration with your LLM app.
• LangChain and LangChain.js integration
• LlamaIndex VectorStore and Reader
• TypeScript/JS SDK supports edge deployment.

Get Started

Install Server

Please see the Zep Quick Start Guide for important configuration information.

docker compose up

Looking for other deployment options?

Install SDK

Please see the Zep Develoment Guide for important beta information and usage instructions.

pip install zep-python

or

npm i @getzep/zep-js