From 5922742d565aadfeef58648067b0874c5c57366d Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Mon, 12 Jun 2023 10:57:31 -0700 Subject: [PATCH] comment out --- .../examples/mongodb_atlas_vector_search.ipynb | 9 +++------ docs/modules/models/text_embedding/examples/embaas.ipynb | 6 +++--- 2 files changed, 6 insertions(+), 9 deletions(-) diff --git a/docs/modules/indexes/vectorstores/examples/mongodb_atlas_vector_search.ipynb b/docs/modules/indexes/vectorstores/examples/mongodb_atlas_vector_search.ipynb index b41ec8c8a6..4ebd0a723d 100644 --- a/docs/modules/indexes/vectorstores/examples/mongodb_atlas_vector_search.ipynb +++ b/docs/modules/indexes/vectorstores/examples/mongodb_atlas_vector_search.ipynb @@ -1,12 +1,12 @@ { "cells": [ { - "attachments": {}, "cell_type": "markdown", "id": "683953b3", "metadata": {}, "source": [ - "#### Commented out until further notice\n", + "Commented out until further notice\n", + "\n", "MongoDB Atlas Vector Search\n", "\n", ">[MongoDB Atlas](https://www.mongodb.com/docs/atlas/) is a fully-managed cloud database available in AWS , Azure, and GCP. It now has support for native Vector Search on your MongoDB document data.\n", @@ -46,7 +46,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "457ace44-1d95-4001-9dd5-78811ab208ad", "metadata": {}, @@ -66,7 +65,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "1f3ecc42", "metadata": {}, @@ -162,7 +160,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "851a2ec9-9390-49a4-8412-3e132c9f789d", "metadata": {}, @@ -220,7 +217,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.3" + "version": "3.9.1" } }, "nbformat": 4, diff --git a/docs/modules/models/text_embedding/examples/embaas.ipynb b/docs/modules/models/text_embedding/examples/embaas.ipynb index 5a1350e763..2473fe9045 100644 --- a/docs/modules/models/text_embedding/examples/embaas.ipynb +++ b/docs/modules/models/text_embedding/examples/embaas.ipynb @@ -129,14 +129,14 @@ "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" + "pygments_lexer": "ipython3", + "version": "3.9.1" } }, "nbformat": 4,