Instantly recall, understand, & extract data from chat histories. Power personalized AI experiences.
Automagically populate prompts with relevant facts and summaries from past conversations, no matter how distant.
Easily Drop into LangChain
Zep's ChatHistory class drops into LangChain and is compatible with the LangChain Expression Language.
Understand user intent and emotion, segment users, and more. Route chains based on semantic context, and trigger events. All without adding latency to your user experience.
Understand Intent
Segment Users
Semantic Routers
Trigger Events
Extract structured data from chat conversations, more accurately and faster than your LLM provider's JSON-mode.
Run Biz Processes
Build User Profiles
Populate API Calls
Fill "Forms"
Add business data and documents relevant to the current conversation to your prompts. No vector database needed.
Users and their Chat Sessions are first-class citizens in Zep, allowing you to easily manage user interactions with your Assistant.
Python
TypeScript
LangChain
LlamaIndex
n8n
LangFlow
Flowise
Comply with corporate and regulatory mandates for records retention while ensuring compliance with privacy regulations such as CCPA and GDPR.
Meet corporate and regularity records retention mandates.
Fulfill requests with a single API call or via the Zep Web App.
Zep won't slow down your user experience. Memory recall, dialog classification, data extraction and more run in a fraction of the time of similar functionality implemented using leading LLM vendors.
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