From fcc068b38dbccaa0b5a161096adafe4dd38b0280 Mon Sep 17 00:00:00 2001 From: Arjun Natarajan Date: Tue, 17 Jun 2025 15:28:31 -0400 Subject: [PATCH] i think its this --- docs/docs/cloud/how-tos/studio/run_evals.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/cloud/how-tos/studio/run_evals.md b/docs/docs/cloud/how-tos/studio/run_evals.md index dacd1156a..d7a367cd8 100644 --- a/docs/docs/cloud/how-tos/studio/run_evals.md +++ b/docs/docs/cloud/how-tos/studio/run_evals.md @@ -12,7 +12,7 @@ Before running an experiment, ensure you have the following: 1. **A LangSmith dataset**: Your dataset should contain the inputs you want to test and optionally, reference outputs for comparison. - - The schema for the inputs must match the required input schema for the assistant. For more information on schemas, see [here](../../../../concepts/low_level/#schema). + - The schema for the inputs must match the required input schema for the assistant. For more information on schemas, see [here](../../../concepts/low_level.md#schema). - For more on creating datasets, see [How to Manage Datasets](https://docs.smith.langchain.com/evaluation/how_to_guides/manage_datasets_in_application#set-up-your-dataset). 2. **(Optional) Evaluators**: You can attach evaluators (e.g., LLM-as-a-Judge, heuristics, or custom functions) to your dataset in LangSmith. These will run automatically after the graph has processed all inputs.