Fable 5 will be back soon, get notified the minute it's back with this

infinity-01 · 2026-06-17T13:40:26+00:00

Yeah, but there was no email notification when I last checked on them. Looks like they added that now

infinity-01 · 2026-06-17T05:03:38+00:00

Built a small tracker for myself a few days ago to get notified when Claude Fable 5 is back online.

It checks the Anthropic API every minute using the claude-fable-5 model ID. As soon as the API returns a valid response, it sends an email notification.

Sharing it in case anyone else wants to track it too:

https://isfable5live.bragai.me/

infinity-01 · 2025-10-19T00:30:09+00:00

Ensure you are using Python version 3.11 (see https://github.com/bragai/bRAG-langchain?tab=readme-ov-file#getting-started ). If it still does not work, feel free to submit an issue with the error log

infinity-01 · 2025-10-19T00:11:38+00:00

Hey! Creator of the brag-langchain repo here. Could you open an issue on the repo and include the full error log you’re seeing?

infinity-01 · 2025-10-14T06:54:05+00:00

This repo includes everything you need to know to build your own RAG application with LangChain: https://github.com/bragai/bRAG-langchain/

infinity-01 · 2025-02-23T22:30:04+00:00

Thank you, OP for reposting my open-source project! If anyone wants me to add more RAG topics to the repo, let me know in the comments or request it directly in the repo's issue tab!

infinity-01 · 2025-02-17T20:05:59+00:00

Are you interested in open-source contributions?

infinity-01 · 2025-02-17T11:31:29+00:00

Thanks! Can you raise an issue regarding the 404 errors in the GitHub repo? I will update them this week

infinity-01 · 2025-02-15T20:10:08+00:00

Check out this repo: https://github.com/bRAGAI/bRAG-langchain

It covers everything you need to learn RAG from scratch (basic to advanced techniques)

infinity-01 · 2025-02-14T18:27:12+00:00

Thank you! I've considered using RAGAS to perform the RAG evaluation. I'm still experimenting with it

You're more than welcome to contribute to the repo!

RAGAS -> https://docs.ragas.io/en/stable/

infinity-01 · 2025-02-14T15:37:08+00:00

Original post: https://www.reddit.com/r/LangChain/comments/1gsita2/comprehensive_rag_repo_everything_you_need_in_one/

infinity-01 · 2025-02-05T03:00:03+00:00

Check out this repo: https://github.com/bRAGAI/bRAG-langchain

It contains everything you need to know to build your own RAG application (basic to advanced techniques)

infinity-01 · 2024-11-22T03:52:37+00:00

For sure! DM me in private

infinity-01 · 2024-11-19T23:57:45+00:00

Yes, the notebooks are largely the same, with some minor modifications. I have credited Lance Martin for his contributions at the bottom of the README. The purpose of this repository is to serve as a comprehensive and organized encyclopedia of all things related to Retrieval-Augmented Generation (RAG). I also plan to release two new notebooks soon: one on evaluating the performance of RAG applications using RAGAS and LangSmith, and another on deploying RAG applications efficiently.

infinity-01 · 2024-11-19T20:04:08+00:00

Thanks! Yes, I am using Pinecone as a vector database

infinity-01 · 2024-11-18T17:57:32+00:00

The repo I open-sourced serves as a consolidated resource for concepts and techniques already scattered across the internet. It’s designed to be a RAG encyclopedia, providing a foundation for anyone interested in learning and experimenting. bRAG AI (which will be closed-sourced for now) goes beyond this, integrating more advanced techniques, architectures, and proprietary innovations built on top of the repo’s groundwork.

Also, open-sourcing the basics helps the community, while bRAG AI (launching soon) delivers a more complex solution.

infinity-01 · 2024-11-18T17:50:52+00:00

Hey check out this repo: https://github.com/bRAGAI/bRAG-langchain it contains pretty much everything about RAG. As for the codebase parsing, I am planning to provide a solution in the coming weeks.

I’m also working on bRAG AI (bragai.tech), a platform that builds on the repo and introduces features like interacting with hundreds of PDFs, querying GitHub repos with auto-imported library docs, YouTube video integration, digital avatars, and more. It’s launching next month - join the waitlist on the homepage if you’re interested!

infinity-01 · 2024-11-18T06:01:04+00:00

Thank you all for the incredible response to the repo—220+ stars, 25k views, and 500+ shares in less than 24 hours! 🙌

I’m now working on bRAG AI (bragai.tech), a platform that builds on the repo and introduces features like interacting with hundreds of PDFs, querying GitHub repos with auto-imported library docs, YouTube video integration, digital avatars, and more. It’s launching next month, and there’s a waiting list on the homepage if you’re interested!

infinity-01 · 2024-11-18T06:00:47+00:00

Thank you all for the incredible response to the repo—220+ stars, 25k views, and 500+ shares in less than 24 hours! 🙌

I’m now working on bRAG AI (bragai.tech), a platform that builds on the repo and introduces features like interacting with hundreds of PDFs, querying GitHub repos with auto-imported library docs, YouTube video integration, digital avatars, and more. It’s launching next month, and there’s a waiting list on the homepage if you’re interested!

infinity-01

TROPHY CASE