Quick Start |
Documentation |
LangChain Support |
Discord
www.getzep.com
Populate your prompts with relevant documents and chat history. Rich metadata and JSONPath query filters offer a powerful hybrid search over texts.
- 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.
- 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 for easy integration with your LLM app.
- LangChain and LangChain.js integration
- TypeScript/JS SDK supports edge deployment.
Please see the Zep Quick Start Guide for important configuration information.
docker compose up
Looking for other deployment options?
Please see the Zep Develoment Guide for important beta information and usage instructions.
pip install zep-python
or
npm i @getzep/zep-js