From 4f2ebd541b9dd480c165eb6d956d8f382d35173e Mon Sep 17 00:00:00 2001 From: murrayhu-mdb Date: Thu, 21 May 2026 11:50:16 +0100 Subject: [PATCH] Update Patronus_MongoDB.ipynb --- notebooks/evals/Patronus_MongoDB.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/notebooks/evals/Patronus_MongoDB.ipynb b/notebooks/evals/Patronus_MongoDB.ipynb index 4802ba12..5e199d16 100644 --- a/notebooks/evals/Patronus_MongoDB.ipynb +++ b/notebooks/evals/Patronus_MongoDB.ipynb @@ -6,9 +6,9 @@ "source": [ "# The Technical Guide on RAG Evaluation with Patronus and MongoDB\n", "\n", - "## How to Query and Retrieve Results from Atlas Vector Store\n", + "## How to Query and Retrieve Results from MongoDB Vector Store\n", "\n", - "To query and retrieve results from MongoDB Atlas vector store, follow these three steps:\n", + "To query and retrieve results from MongoDB MongoDB vector store, follow these three steps:\n", "\n", "### Set Up the Database on Atlas\n", "First, you need to create an account on MongoDB Atlas. This involves signing in to your MongoDB Atlas account, creating a new cluster, and adding a database and collection. You can skip this step if you have already have your collection for vector search.\n", @@ -16,7 +16,7 @@ "### Create an Atlas Index\n", "You can create an index either via code or using the Atlas UI. Here’s an example of how to create an index using the Atlas UI:\n", "1. Navigate to your collection.\n", - "2. Click on “Atlas search” and then “Create Index”.\n", + "2. Click on “MongoDB Search” and then “Create Index”.\n", "3. Define the index fields and type. \n", "\n", "Alternatively, you can create an index programmatically. The following index definition indexes the vector embeddings field (`fieldToIndex`) for performing vector search.\n"