Multi Modal RAG systems

If you want to get good at building multimodal RAG systems, learn these key components first

Lately, we have doing a crash course series on building RAG systems.

Part 5 of our RAG crash course (with free access) dives into the key components of multimodal RAG systems (with implementations):

• CLIP embeddings → For creating a shared representation space for text and images.

• Multimodal prompting → For extending the text-only prompting to include multiple data modalities, such as text, images, videos, and structured data.

• Tool calling → To let the AI model invoke external tools or APIs and perform specific tasks beyond their built-in capabilities.

Author

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