Uploaded July 2025 | Updated September 2026, 2 weeks ago
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: colab.research.google.com/drive/1TFK4KLqEnddmgyzgjO7oNNw7nZWsdR09#scrollTo=ktzbaWGoEO4f
jina.ai/news/jina-embeddings-v4-universal-embeddings-for-multimodal-multilingual-retrieval
jina.ai/news/late-chunking-in-long-context-embedding-models
huggingface.co/blog/matryoshka
cohere.com/blog/embed-4
github.com/PromtEngineer/localGPT-Vision
huggingface.co/blog/manu/colpali
weaviate.io/developers/weaviate/tutorials/multi-vector-embeddings
https://x.com/NVIDIAAIDev/status/1939777996522389683
https://mteb-leaderboard.hf.space/?benchmark_name=VisualDocumentRetrieval
huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1/tree/main
build.nvidia.com/explore/retrieval
Relevant Videos:
youtu.be/Ilf26xjT5is
youtu.be/hhMXE9-JUAc
youtu.be/V1VOdoEFaDw
youtu.be/bQL-yok_0qw
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
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: colab.research.google.com/drive/1TFK4KLqEnddmgyzgjO7oNNw7nZWsdR09#scrollTo=ktzbaWGoEO4f
jina.ai/news/jina-embeddings-v4-universal-embeddings-for-multimodal-multilingual-retrieval
jina.ai/news/late-chunking-in-long-context-embedding-models
huggingface.co/blog/matryoshka
cohere.com/blog/embed-4
github.com/PromtEngineer/localGPT-Vision
huggingface.co/blog/manu/colpali
weaviate.io/developers/weaviate/tutorials/multi-vector-embeddings
https://x.com/NVIDIAAIDev/status/1939777996522389683
https://mteb-leaderboard.hf.space/?benchmark_name=VisualDocumentRetrieval
huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1/tree/main
build.nvidia.com/explore/retrieval
Relevant Videos:
youtu.be/Ilf26xjT5is
youtu.be/hhMXE9-JUAc
youtu.be/V1VOdoEFaDw
youtu.be/bQL-yok_0qw
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
