You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -2,7 +2,7 @@
2
2
3
3
> Implement RAG (using LangChain and PostgreSQL) to improve the accuracy and relevance of LLM outputs
4
4
5
-
This repository contains source code corresponding to the blog post [How to use Retrieval Augmented Generation (RAG) for Go applications](TODO) which covers how to leverage the [Go programming language](https://go.dev/) to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with [langchaingo](https://github.com/tmc/langchaingo).
5
+
This repository contains source code corresponding to the blog post [How to use Retrieval Augmented Generation (RAG) for Go applications](https://community.aws/content/2f1mRXuakNO22izRKDVNRazzxhb) which covers how to leverage the [Go programming language](https://go.dev/) to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with [langchaingo](https://github.com/tmc/langchaingo).
0 commit comments