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Evaluate AI Agent Response Correctness with OpenAI and Ragas Methodology

by JimleukUpdated Aug 2026
RequiresOpenAI
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CLCorrectness ClassifierCorrectness Cla…OPExamples1OpenAI Chat ModelOpenAI Chat Mod…OpenAI Chat Model1OpenAI Chat Mod…EvWhen fetching a dataset rowWhen fetching a…SeRemap InputEvEvaluationSeSet Input FieldsNONo Operation, do nothingNo Operation, d…AgAI AgentChWhen chat message receivedWhen chat messa…MeMergeCoCalculate F1 ScoreCalculate F1 Sc…CoCorrectness ScoreCorrectness Sco…EvUpdate MetricsEvUpdate OutputsHRGet EmbeddingsSOGroundTruth to ItemsGroundTruth to …HRGet Embeddings1AgAggregateSeRemap EmbeddingsSeRemap Embeddings1Remap Embedding…MeCreate Embeddings ResultCreate Embeddin…CoCalculate Similarity ScoreCalculate Simil…12345678910111213141516171819202122232425
1/5
STEPS · 25
Starts on a Evaluation event

On an evaluation dataset run, executes the AI agent and scores response correctness with OpenAI using the Ragas methodology.

Tags

eventcomplexOpenAIEngineeringAI Summarizationdiscoveredpending-review
Connects
OpenAI
CategoryAI Agents & Chatbots
Triggerevent
Complexitycomplex
Nodes24
AddedJun 27, 2026