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Products that do what Talk to YouTube – RAG for YouTube Videos does

Hi HN, I built this little application for setting up RAG on Youtube video transcripts. I haven't seen a lot of RAG for multimodal use-cases so I thought this was interesting. It uses YoutubeDL to get transcripts and Vectara to set up the RAG system. It's multilingual so other languages besides english work as well. The answer produced by the LLM has references with timestamps to where its deriving information from from within the video. Right now the interface is a clunky terminal but I'm planning on adding a UI or maybe a voice I/O interface to the app. Full disclosure: I work at…

  1. 1IM

    Hey HN, I've been working on this side project for the past month. It generates a step-by-step tutorial guide for YouTube videos that you can follow along without watching long videos. Best suited for tutorial videos but can work for other videos aswell. No BS. Just straight to the point. The guides are generated from pure transcript so you don't have to worry about it being AI. It's my first project as a total beginner. Something I had to do inorder to get out of tutorial hell. Please let me know if you have any suggestions or if you face any problems or bugs. I would try to fix them to the…

    2024 · stepify.tech

  2. 2TA

    I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...

    2024 · embedding.io

  3. 3
    Ragie 150

    Your Audio and Video, Now Fully Searchable.

    2025

  4. 4BC

    I know there are various tools that are supposed to make this easy, but I couldn't find anything that did everything I wanted, so I made this today for fun. The web-based offerings all take forever and seem flaky, and you need to process one video at a time, with no control over the transcription settings. In contrast, my script lets you convert a whole playlist in bulk with full control over everything. It's truly easy to use-- you can clone the repo, install to a venv, and be generating a folder full of high quality transcript text files in under 5 minutes. All you need to do is supply the…

    2023 · github.com

  5. 5IB

    Hey all! I wanted to share this project I've been working on that can maybe help you or your developer friends out. I built a RAG system for our product a while back and didn't realize how easy they were to get started. So I put together my learnings into this online course. It's not quite ready but if you sign up and mention HackerNews, I can get you early access. I'm looking to get feedback on the following: (1) materials — is it engaging & did you learn something? (2) UI/UX of the platform — did you have any issues that prevented you from starting or finishing the tutorial? (3)…

    2024 · takehomes.com

  6. 6

    YouTube transcript download and generation, 100% Free

    2023

  7. 7CW
  8. 8
    RAGstack111

    Deploy a private ChatGPT alternative hosted within your VPC

    2023

  9. 9HW

    TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'. Part of our mission at Mutable.ai is to make it much easier for developers to build and understand software. One of the natural ways to do this is to create a codebase chat, that answer questions about your repo and help you build features. It might seem simple to plug in your codebase into a state-of-the-art LLM, but LLMs have two limitations that make human-level assistance with code difficult: 1. They currently have context windows that are too small to…

    2024 · twitter.com

  10. 10TT

    Hello HN, Talk2Arxiv is a small open-source RAG application I've been building for a few weeks. To use it just prepend any arxiv.org link with 'talk2' to load the paper into a responsive RAG chat application (e.g. www.arxiv.org/abs/1706.03762 -> www.talk2arxiv.org/abs/1706.03762). All implementation details are in the GitHub. Currently, because I've opted to extract text from the PDF of the paper rather than reading the LaTeX source code (since I wanted to build a more generic PDF RAG in the process), it struggles with symbolic text / mathematics, and sometimes fails…

    2023 · github.com

  11. 11VS
  12. 12

    Convert YouTube videos to text instantly

    Mar 2026 · getyoutubetext.com

  13. 13DA

    I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…

    2023 · github.com

  14. 14AA

    Hi everyone, I built this recently and found myself and my friends using it for various different things so I figured I'd share it here. It uses LLMs to answer queries from videos so you don't have to watch them yourself! Each video found is also included with a summary of its transcript for further exploration. Most importantly, it uses up-to-date videos and can answer question about real and recent things unlike ChatGPT. It is particularly useful for: 1. Getting up to date information about the news from different sources E.g. - What are the features of the recently released Apple Vision…

    2023 · askyoutube.ai

  15. 15

    Add PDF chat to your LLM app in less than 9 lines of code

    2024

  16. 16RO

    Ragas is an open-source library for evaluating and testing RAG and other LLM applications. Github: https://docs.ragas.io/en/stable/, docs: https://docs.ragas.io/. Ragas provides you with different sets of metrics and methods like synthetic test data generation to help you evaluate your RAG applications. Ragas started off by scratching our own itch for evaluating our RAG chatbots last year. Problems Ragas can solve - How do you choose the best components for your RAG, such as the retriever, reranker, and LLM? - How do you formulate a test dataset…

    2024 · github.com

  17. 17IC
  18. 18RP

    Hey hacker news, We’re the cofounders at Psychic.dev (http://psychic.dev) where we help companies connect LLMs to private data. With the launch of Llama 2, we think it’s finally viable to self-host an internal application that’s on-par with ChatGPT, so we did exactly that and made it an open source project. We also included a vector DB and API server so you can upload files and connect Llama 2 to your own data. The RAG in RAGstack stands for Retrieval Augmented Generation, a technique where the capabilities of a large language model (LLM) are augmented by retrieving information…

    2023 · github.com

  19. 19TA

    Hi everyone! This project started with me manually doing the following process: Step 1: Get the transcript from youtube by clicking "show transcript" inside the description box Step 2: The transcript usually won't have any punctuation and have lots of mistakes, so paste it into ChatGPT to clean it up or summarize it. The idea here is to make this process as seamless as possible. What I ended up with was a Chrome extension [0] that adds a button in the YouTube UI that does all of this. Automating it allowed me to do a lot of cool things that would be hard to do manually: 1. I use the…

    2023 · chrome.google.com

  20. 20IM

    Live demo here: http://fonctionlabs.com:8000 Similarly to aka_sh (guess we were working parallelly on similar topics), I created with my brother a chainlit-based webapp, which summarizes Youtube videos in order to gain time. It works as an RAG-based LLM, and is very light in the sense that it does not use RAG libraries like langchain or llamaindex. You can use it with your own OpenAI API key. It also supports local models like Mistral, or Llamma. It is ofc open-source, and you can deploy with Docker if you choose. Some of the next steps are: - using whisper to be able to compute a…

    2024 · github.com

  21. 21AS

    After hearing several youtubers I follow describe ardiuous manual processes for downloading youtube transcripts, I made a simple app to help anyone download transcripts in bulk. Drag and drop a text file with one url per line, or enter urls manually. hf space demo --> https://huggingface.co/spaces/neonwatty/youtube_shorts_trans... github repo --> https://github.com/neonwatty/youtube_shorts_transcript_downl...

    2024 · github.com

  22. 22SB

    Hi HN! Using Ctrl+F on YouTube Transcripts doesn't have the best UI/UX, so I built a chrome extension to inject a input search box that filters for any queries. YouTube actually has this feature for a few videos (ex: https://https://www.youtube.com/watch?v=oAHbLRjF0vo) for years now. I'm not sure why they haven't rolled it out for all videos. I didn't want to wait. The extension will only inject it's own search box if the video does not already have one on YouTube. I tried styling it to look similar to YouTube's design. Indexing and querying rules follow the…

    2024 · youtubetranscriptsearch.com

  23. 23FW
  24. 24CR

    Hey folks! I wanted to share one of the latest projects I worked on, called Vectara Portal. It's an application that allows users of our platform (https://vectara.com/) to create shareable pages that let you and other users (privately, if you wish) chat with, search through, or get answers from your documents. This began as a side project resulting from a question over lunch: "How do we put the power of our platform into the hands of users, without requiring them to code?" One hackathon weekend later, plus a few more days' worth of improvements, Portal was born. It's…

    2024 · portal.demo.vectara.com

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