n8n workflows for Evaluationtrigger.

This template and YouTube video goes over 5 different implementations of evaluations within n8n. Categorization Correctness Tools used String similarity Helpfulness

🤖📈 This workflow is my personal solution for the Agentic Arena Community Contest, where the goal is to build a Retrieval-Augmented Generation (RAG) AI agent capable of answering questions based on a p

FAQs Embeddings. Uses googleDocs, openAi, supabase, httpRequest. Event-driven trigger; 35 nodes.

Who is this for? Event sales teams & conference organizers processing 100+ sponsor/partner emails weekly who need instant lead qualification, Salesforce automation, & pipeline analytics. _

Email Sentiment Router for Event Sales Leads

FAQs Embeddings. Uses googleDocs, openAi, supabase, httpRequest. Event-driven trigger; 35 nodes.

Automate how you reply to Reddit posts using AI-generated, first-person comments that sound human, follow subreddit rules, and (optionally) promote your own links or products.

This is a simple temlate that will allow you to customise the notifications in Radarr, Sonarr, Bazarr and similar. By default the notifications are configured to be sent to discord and look similar to

The scoring approach is adapted from the open-source evaluations project RAGAS and you can see the source here https://github.com/explodinggradients/ragas/blob/main/ragas/src/ragas/metrics/answercorre

This is a template for n8n's evaluation feature.

The scoring approach is adapted from https://cloud.google.com/vertex-ai/generative-ai/docs/models/metrics-templates#pointwise_groundedness This evaluation works best for an agent that requires documen

Developers building AI-powered workflows who want to ensure their agents work reliably. If you need to validate AI outputs, test agent behavior systematically, or build maintainable automation, this t

The scoring approach is adapted from the open-source evaluations project RAGAS and you can see the source here https://github.com/explodinggradients/ragas/blob/main/ragas/src/ragas/metrics/answersimil

This n8n template demonstrates how to deploy an AI workflow in production while simultaneously running a robust, data-driven Evaluation Framework to ensure quality and optimize costs.

The scoring approach is adapted from the open-source evaluations project RAGAS and you can see the source here https://github.com/explodinggradients/ragas/blob/main/ragas/src/ragas/metrics/answerrelev

Catch AI quality drift before your users do. This template ties scheduled evaluation, LLM-as-a-Judge scoring, and threshold-based alerts into a continuous monitoring loop that fires a Slack alert the

The scoring approach is adapted from https://cloud.google.com/vertex-ai/generative-ai/docs/models/metrics-templates#pointwisesummarizationquality This evaluation works best for an AI summarization wor

Who's it for

This is a template for n8n's evaluation feature.

This workflow is a beginner-friendly tutorial demonstrating how to use the Evaluation tool to automatically score the AI’s output against a known correct answer (“ground truth”) stored in a Google She

Score open-ended AI responses with a judge model. This template shows how to evaluate a customer support agent using a separate LLM that rates each response on correctness and helpfulness, going beyon

This is a template for n8n's evaluation feature.

This is a template for n8n's evaluation feature.

Measure how well your AI classifier actually performs. This template shows how to evaluate a support ticket classifier using n8n's built-in evaluation system, comparing AI predictions against expected

This is a template for n8n's evaluation feature.

evaluation. Uses formTrigger, lmChatOpenAi, agent, form. Event-driven trigger; 10 nodes.