Multi-Modal RAG: Chat with Text and Images in Documents

Опубликовано: 12 Июль 2024
на канале: Prompt Engineering
10,463
312

In this video, I'll show you how to build an end-to-end multi-modal RAG system using GPT-4 and LLAMA Index. We'll cover data collection, creating vector stores for text and images, and building a retrieval pipeline. Perfect for those interested in enhancing large language models with multi-modal data.

LINKS:
Colabl: https://tinyurl.com/25sb2rtu
Architecture: https://tinyurl.com/4x9x9bsc
Multi-modal RAG - Previous Video:    • Multi-modal RAG: Chat with Docs conta...  

💻 RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/c...

Let's Connect:
🦾 Discord:   / discord  
☕ Buy me a Coffee: https://ko-fi.com/promptengineering
|🔴 Patreon:   / promptengineering  
💼Consulting: https://calendly.com/engineerprompt/c...
📧 Business Contact: [email protected]
Become Member: http://tinyurl.com/y5h28s6h

💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).

Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0

TIMESTAMPS:
00:00 Introduction to Multi-Modal RAG Systems
00:23 Overview of the Architecture
02:57 Setting Up the Environment
03:54 Data Collection and Preparation
04:28 Generating Image Descriptions with GPT-4
08:10 Creating Multi-Modal Vector Stores
09:41 Implementing the Retrieval Pipeline
11:05 Generating Final Responses


All Interesting Videos:
Everything LangChain:    • LangChain  

Everything LLM:    • Large Language Models  

Everything Midjourney:    • MidJourney Tutorials  

AI Image Generation:    • AI Image Generation Tutorials  


Смотрите видео Multi-Modal RAG: Chat with Text and Images in Documents онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Prompt Engineering 12 Июль 2024, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 10,463 раз и оно понравилось 312 людям.