The Only Embedding Model You Need for RAG

I walk you through a single, multimodal embedding model that handles text, images, tables —and even code —inside one vector space. In this short demo I show the install steps, run RAG retrieval benchmarks, and compare cost vs. traditional multi-model setups. If you’re building search or RAG pipelines, see how one all-in-one embedding can simplify your stack and boost accuracy. LINKS: Notebook: https://colab.research.google.com/drive/1TFK4KLqEnddmgyzgjO7oNNw7nZWsdR09#scrollTo=ktzbaWGoEO4f https://jina.ai/news/jina-embeddings-v4-universal-embeddings-for-multimodal-multilingual-retrieval https://jina.ai/news/late-chunking-in-long-context-embedding-models/ https://huggingface.co/blog/matryoshka https://cohere.com/blog/embed-4 https://github.com/PromtEngineer/localGPT-Vision https://huggingface.co/blog/manu/colpali https://weaviate.io/developers/weaviate/tutorials/multi-vector-embeddings https://x.com/NVIDIAAIDev/status/1939777996522389683 https://mteb-leaderboard.hf.space/?benchmark_name=VisualDocumentRetrieval https://huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1/tree/main https://build.nvidia.com/explore/retrieval Relevant Videos: https://youtu.be/Ilf26xjT5is https://youtu.be/hhMXE9-JUAc https://youtu.be/V1VOdoEFaDw https://youtu.be/bQL-yok_0qw Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com 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