Multimodal Retrieval-Augmented Generation (RAG)
Published:Dec 5, 2023 00:00
•1 min read
•Weaviate
Analysis
The article introduces the concept of Multimodal Retrieval-Augmented Generation (MM-RAG) systems, focusing on combining different data types like text, images, audio, and video. It highlights key techniques such as contrastive learning and any-to-any search using vector databases. The mention of Weaviate and OpenAI GPT-4V suggests a practical, implementation-focused approach with code examples.
Key Takeaways
- •Introduces Multimodal Retrieval-Augmented Generation (MM-RAG).
- •Covers combining text, images, audio, and video.
- •Mentions contrastive learning and any-to-any search with vector databases.
- •Highlights practical implementation with Weaviate and OpenAI GPT-4V.
Reference
“The article focuses on building MM-RAG systems that combine text, images, audio, and video.”