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I recorded a gentle introduction to building RAG applications using open-source models. ​ Prerequisite: You should be comfortable reading Python. ​ I wanted to record a video to introduce as many people as possible to building RAG applications and using Large Language Models. Here, I tried to stay away...

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Santiago

416,778 subscribers

69,223 Aufrufe • vor 1 Jahr •via X (Twitter)

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10 Kommentare

Profilbild von Think Pythonic
Think Pythonicvor 1 Jahr

RAG (Retrieve, Augment, Generate) combine two AI techniques: **retrieval** of relevant information (ie database or doc) and **generation** of new text (from models like GPT). Essentially, it retrieves data first, then uses it to generate a more informed and accurate response.

Profilbild von Louis Polart
Louis Polartvor 1 Jahr

Awsome, thank you. Will watch it !

Profilbild von The Monk Dev
The Monk Devvor 1 Jahr

What's a RAG? Anyone?

Profilbild von CTS Tech
CTS Techvor 1 Jahr

Thnx for all the work u do 👏🙏

Profilbild von Marcelo Russo | Web Design & Webflow Expert
Marcelo Russo | Web Design & Webflow Expertvor 1 Jahr

Crisp image and on point background ❤️🔥 fantastic! ❤️🔥🔥

Profilbild von Ben
Benvor 1 Jahr

Have you tried LangGraph yet, or similar tools for RAG evaluation, using secondary LLMs to review the responses? I’d be interested to learn your take on these.

Profilbild von AI Tiger
AI Tigervor 1 Jahr

Thanks so much. You are on the top

Profilbild von zer0nerd
zer0nerdvor 1 Jahr

@svpino thanks for the knowledge!

Profilbild von Tim
Timvor 1 Jahr

@Memdotai mem it

Profilbild von Mem
Memvor 1 Jahr

@svpino Saved! Here's the compiled thread:

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I recorded a full tutorial on how to build a RAG application using open-source models. It's almost 1 hour. Step by step. I explained everything as if you were 5 years old.
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Here is a 50-minute tutorial for those who want to build their first RAG application using open-source models. This is very beginner-friendly. As long as you are comfortable with Python, you should be able to get a ton from this.
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Tune Studio is an end-to-end platform for developing applications using Large Language Models. So far, I haven't seen any other platform like this one. You can do everything here: 1. You can curate your data. 2. Use the playground to play with different models and try your ideas. 3. Fine-tune an open-source model on your data. 4. Deploy the model when you are done. This is awesome for anyone building generative AI applications. You can use Tune Studio to work with any of the open-source models out there. They were one of the few companies to host Llama 2 and Llama 3 before anyone else. Here is a link to check it out: One of their main selling points is that Tune Studio scales! You don't have to worry about serving your model to lots of users. They also have built-in user management, authentication, on-prem support, user context management, and pretty much everything you need to build generative AI applications. Thanks to the Tune team for collaborating with me on this post. We are living through the best years of development tools for AI developers. The field is unstoppable.

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5:59

Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!

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108,803 Aufrufe • vor 2 Jahren