From aac133ec6e2343508f63bd506d75eee7d7f26948 Mon Sep 17 00:00:00 2001 From: Tabby Date: Sun, 3 Mar 2024 14:46:21 -0800 Subject: [PATCH] docs: Update langchain_quick_start.ipynb Add Links for memory store + langchain to match cloud sql quick start. --- samples/langchain_quick_start.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/samples/langchain_quick_start.ipynb b/samples/langchain_quick_start.ipynb index 48feb05..a27c90d 100644 --- a/samples/langchain_quick_start.ipynb +++ b/samples/langchain_quick_start.ipynb @@ -31,7 +31,7 @@ "---\n", "\n", "# **Introduction**\n", - "In this codelab, you'll learn how to create a powerful interactive generative AI application using Retrieval Augmented Generation with Memorystore for Redis and LangChain. You'll build an application grounded in a [Netflix Movie dataset](https://www.kaggle.com/datasets/shivamb/netflix-shows), allowing you to interact with movie data in exciting new ways." + "In this codelab, you'll learn how to create a powerful interactive generative AI application using Retrieval Augmented Generation powered by [Memorystore for Redis](https://cloud.google.com/memorystore) and [LangChain](https://www.langchain.com/). You'll build an application grounded in a [Netflix Movie dataset](https://www.kaggle.com/datasets/shivamb/netflix-shows), allowing you to interact with movie data in exciting new ways." ] }, {