Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings

docs: Update langchain_quick_start.ipynb #47

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We鈥檒l occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Mar 4, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion 2 samples/langchain_quick_start.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -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."
]
},
{
Expand Down
Morty Proxy This is a proxified and sanitized view of the page, visit original site.