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Easily add relevant documents, chat history memory & rich user data to your LLM app's prompts. Understands chat messages, roles, and user metadata, not just texts and embeddings. Zep Memory and VectorStore implementations are shipped with your favorite frameworks: LangChain, LangChain.js, LlamaIndex, and more. Automatically embed texts and messages using state-of-the-art opeb source models, OpenAI, or bring your own vectors. Zep’s local embedding models and async enrichment ensure a snappy user experience.

Features

Designed for building conversational LLM applications
Vector Database with Hybrid Search
Batteries Included Embedding & Enrichment
Fast, low-latency APIs and stateless deployments
Python & TypeScript/JS SDKs, Edge Deployment
TypeScript/JS SDK supports edge deployment

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License

Apache License V2.0

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Additional Project Details

Programming Language

Related Categories

Go Large Language Models (LLM)

Registered

2023-08-25

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