Evaluate the performance of your AI

Retrieval-Augmented Generation solutions are a powerful way to integrate LLM’s into your stack, but they can be unreliable and complicated to test. By using LangWatch Evals you can build confidence in your RAG system

Evaluate the performance of your AI

Retrieval-Augmented Generation solutions are a powerful way to integrate LLM’s into your stack, but they can be unreliable and complicated to test. By using LangWatch Evals you can build confidence in your RAG system

Minimize hallucinations in your RAG

Retrieval Context Relevance: Checks if the retrieved context is relevant to the output. Answer Relevance: Assesses if the output matches the input. Retrieval Hallucination: Ensures the output is grounded in the retrieved context.

Minimize hallucinations in your RAG

Retrieval Context Relevance: Checks if the retrieved context is relevant to the output. Answer Relevance: Assesses if the output matches the input. Retrieval Hallucination: Ensures the output is grounded in the retrieved context.

Human in the loop

Combine LLM evaluations with user & domain-expert feedback. Let your team, Product Managers, Customer Experience Managers or Domain Experts annotate on the output of the LLM. As a developer you will now have the ability to select these annotation and build your datasets with it.

Human in the loop

Combine LLM evaluations with user & domain-expert feedback. Let your team, Product Managers, Customer Experience Managers or Domain Experts annotate on the output of the LLM. As a developer you will now have the ability to select these annotation and build your datasets with it.

Trigger alerts in Slack or E-mail

Immediately get notified when an AI risk or hallucination is happening. Act direct

Trigger alerts in Slack or E-mail

Immediately get notified when an AI risk or hallucination is happening. Act direct