Skip to content
View Andrew-Jang's full-sized avatar
🎯
Focusing
🎯
Focusing
  • Seoul, South Korea

Block or report Andrew-Jang

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Andrew-Jang/README.md

Hi, I'm Andrew Jang πŸ‘‹

I'm a builder by heart, passionate about creating solutions and communities that drive us toward a more efficient future.

πŸš€ What I've Built:

Currently involved in:

  • r/RAG: Creator and moderator of the largest community in the world focused on Retrieval-Augmented Generation (RAG). Join the conversation and explore innovative RAG techniques, tools, and projects.
  • RAGHut.com: Your hub to discover, explore, and compare the latest RAG projects, tools, and frameworks. A platform for the community, by the community.

PAST

  • Although I'm no longer affiliated with these teams, the journey of building them was a key part of my experience.
  • AI Tools: I've also built and launched various AI-powered tools, including:
    • Popitalk(Depricated): A platform to watch YouTube together while chatting with friends.
    • TradDocs.com: A tool for identifying shipping document types and detecting contract errors.
    • ParDocs.com: A solution for extracting structured data from unstructured documents.
    • Mailtocell.com: A service to automate email data extraction into spreadsheets.

πŸ”§ Currently Working On:

I'm actively building something new with Retrieval-Augmented Generation (RAG). Stay tuned!


I love connecting with like-minded people to build a better, more efficient future. Feel free to reach out if you'd like to collaborate or share ideas!

Pinned Loading

  1. RAGHub RAGHub Public

    A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

    410 32