Multimodal RAG: A Beginner-friendly Guide (with Python Code)

🤝 Want your team maximizing Claude? I run 1:1 and team AI workshops for companies doing $1M+ per year: https://aibuilder.academy/yt/Y7pNmocrmi8 Multimodal RAG improves an AI model's responses by providing relevant information stored in text and non-text formats. Here, I discuss 3 ways to build an MRAG system and share an example implementation with Python. Resources: 📰 Blog: https://medium.com/towards-data-scien... 💻 GitHub Repo: https://github.com/ShawhinT/YouTube-B... References: [1] RAG:    • How to Improve LLMs with RAG (Overview + P...   [2] Multimodal LLMs:    • Multimodal AI: LLMs that can see (and hear)   [3] Multimodal Embeddings:    • Multimodal Embeddings: Introduction & Use ...   Introduction - 0:00 What is RAG? - 1:12 Multimodal RAG (MRAG) - 4:01 3 Levels of MRAG - 5:26 Example code: Multimodal Blog QA Assistant - 10:52 Demo (Gradio) - 24:44 Limitations - 25:28

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How to Build RAG Systems (in the real world)

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Knowledge Graph or Vector Database… Which is Better?

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What is Multimodal RAG? Unlocking LLMs with Vector Databases

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Multimodal Embeddings: Introduction & Use Cases (with Python)
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Multimodal Embeddings: Introduction & Use Cases (with Python)

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Is RAG Still Needed? Choosing the Best Approach for LLMs

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Multimodal AI: LLMs that can see (and hear)

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QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)

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GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

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Don't learn AI Agents without Learning these Fundamentals

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Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

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EASIEST Way to Fine-Tune a LLM and Use It With Ollama