Uptrain

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uptrain is an open-source platform for evaluating and improving Generative AI applications. It provides grades for 20+ preconfigured checks and performs root cause analysis on failure cases.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is uptrain?

UpTrain is an open-source unified platform designed to evaluate and improve Generative AI applications. It offers over 20 preconfigured evaluations covering language, code, and embedding use cases, helping developers assess aspects like response completeness, factual accuracy, and context conciseness. The platform includes a web-based dashboard that runs locally, ensuring data privacy by keeping evaluations on your system. UpTrain also performs root cause analysis on failure cases, providing insights to resolve issues. It supports various LLM providers and embedding models, allowing for extensive customization of evaluations and the creation of custom evaluators. Developers can integrate UpTrain evaluations programmatically using its Python package.

Best used for

Ideal for developers who need to rigorously evaluate their LLM applications, perform detailed root cause analysis on suboptimal results, and customize evaluation methods. Especially valuable for ensuring factual accuracy, response completeness, and detecting security vulnerabilities like prompt injection in Generative AI systems.

Common actions

evaluate LLM applications

improve AI models

analyze AI failures

customize AI evaluations

monitor prompt drift

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Capabilities

Key features

20+ pre-configured evaluations
Local web-based dashboard
Root cause analysis
Customizable evaluations
Supports various LLMs
Embedding model experimentation

Target Audience

developer

Integrations

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Pricing & Plans

Open Source

Free

FAQs

What types of evaluations does UpTrain offer for LLM applications?

UpTrain provides over 20 pre-configured evaluations, including checks for response completeness, factual accuracy, context conciseness, language features, tonality, and code hallucination. It also offers evaluations for user satisfaction, prompt injection, and jailbreak detection, alongside options for custom guidelines and prompts.

Can UpTrain be used to evaluate open-source LLMs or custom models?

Yes, UpTrain supports a wide range of LLM providers, including OpenAI, Anthropic, Mistral, and Azure's OpenAI endpoints. It also allows the use of open-source LLMs hosted on Anyscale and supports experimentation with various embedding models like HuggingFace models, Replicate endpoints, or custom models hosted on your endpoint.

How does UpTrain ensure data privacy during evaluations?

UpTrain's dashboard and all evaluations run locally on your system. This architecture ensures that your data never leaves your secure environment. The only exception is for LLM calls made when using model grading checks, where data might be sent to the respective LLM provider.

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Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Backend & APIs Prompt Engineering

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