Skip to content

Changing titles for consistancy #98

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.

Sign up for GitHub

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

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Oct 8, 2025
Merged

Changing titles for consistancy #98

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
4 changes: 2 additions & 2 deletions src/uc/rag.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,9 +12,9 @@ It supports the storage and retrieval of vectors, which are essential for handli
Here are some key features and components of Redis that make it suitable for RAG:

1. **Redis as a vector database**: The following set of tutorials provide examples of how to use Redis as a vector database:
- [E-commerce Discovery](redisinsight:_?tutorialId=e-commerce-discovery)
- [E-commerce discovery](redisinsight:_?tutorialId=e-commerce-discovery)
- [Building personalized recommendations](redisinsight:_?tutorialId=personalized_recommendations)
- [Creating an AI Assistant](redisinsight:_?tutorialId=ai_assistant)
- [Creating an AI assistant](redisinsight:_?tutorialId=ai_assistant)

1. **Redis Vector Library (RedisVL)**: This library is designed to enhance the development of generative AI applications by efficiently managing vector data. It allows the storage of embeddings (vector representations of text) and facilitates fast similarity searches, which are crucial for retrieving relevant information in RAG.

Expand Down