
Julep AI

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About
Julep is a serverless AI workflow platform designed for data science teams to build, iterate, and deploy multi-step AI pipelines. It offers a YAML-based configuration for defining tasks, integrating with various AI models, APIs, and data sources. Key features include the ability to create AI agents, define multi-step processes with decision trees and loops, and deploy production-grade workflows. Julep aims to simplify AI development by providing tools and infrastructure for building reliable and scalable AI applications. It supports use cases like RAG chatbots, web crawlers, video processing, and more.
Platform
Task
Features
• open source
• tasks
• agents
• tools
• yaml configuration for multi-step processes
• integrations with llms, apis and data sources
• scalable ai pipelines
• serverless ai workflows
FAQs
What is Julep?
Julep is a serverless AI workflow platform that lets data science teams build, iterate on, and deploy multi-step AI pipelines using a simple, declarative YAML-based configuration.
Who is Julep for?
Julep is designed for data scientists and ML engineers—especially in enterprise settings—who want to quickly move from AI prototypes to production without the need for heavy backend engineering.
How does Julep's approach differ from typical AI development?
While most platforms focus on prompt engineering and chaining LLM calls, Julep brings software engineering discipline to AI development.
How is Julep different from agent frameworks?
While LangChain is great for creating sequences of prompts and managing model interactions, Julep is built for creating persistent AI agents with advanced task capabilities.
What types of workflows can I build with Julep?
You can build multi-step AI workflows that include decision-making, loops, parallel processing, state management, retries, and integrations with external tools and APIs.
How does Julep handle scaling and fault tolerance?
Julep automatically scales to handle thousands to millions of executions and is built with robust fault tolerance, state management, and long-running execution capabilities.
Is Julep secure and enterprise-grade?
Yes. Julep is built with enterprise needs in mind. We offer private deployments, robust security measures, and compliance features that ensure our platform is reliable and production-ready.
What are Julep’s pricing models?
We offer a generous free tier for experimentation. For paid plans, we have two main models: a usage-based pricing model and dedicated enterprise/on-prem deployments.
Pricing Plans
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