Nomic AI has introduced Nomic Embed Vision v1 and v1.5, which are CLIP-like vision models that complement their text embedding models. The new Nomic Embed Vision models enable multi-modal tasks by creating a unified embedding space for image, text, and multimodal applications. Users can leverage LangChain support for Nomic Embed Vision to perform multi-modal RAG, enabling tasks like embedding images and text for similarity search and multimodal LLM for answer synthesis.
Nomic Embed Vision: š ? https://t.co/lwDBm08Rn5
Nomic Embed Vision v1.5 running your web browser for image classification! Thanks @xenovacom for the awesome @huggingface space! https://t.co/YOmho9ZPYB
Nomic AI ReleasesĀ Nomic Embed Vision v1Ā andĀ Nomic Embed Vision v1.5: CLIP-like Vision Models that Can be Used Alongside their Popular Text Embedding ModelsĀ https://t.co/pSLAZZCVsN #NomicAI #NomicEmbed #MultimodalModels #AIinnovation #Visionv1.5 #ai #news #llm #ml #research #ā¦ https://t.co/K0quqIesGH
Nomic AI ReleasesĀ Nomic Embed Vision v1Ā andĀ Nomic Embed Vision v1.5: CLIP-like Vision Models that Can be Used Alongside their Popular Text Embedding Models Nomic AI has recently unveiled two significant releases in multimodal embedding models:Ā Nomic Embed Vision v1Ā andĀ Nomicā¦ https://t.co/qvJsdSpa3Y
With LangChain support for Nomic Embed Vision, you can perform multi-modal RAG. Check out the notebook below for an example of how to embed images and text with @nomic_ai Vision and Text, then retrieve with similarity search, and pass into a multimodal LLM for answer synthesis.ā¦
šØNew Model Drop šØ Nomic Embed is now Multimodal! Nomic Embed Text and Nomic Embed Vision form a high quality, unified embedding space for image, text, and multimodal tasks. https://t.co/sD7JHBznGy
for my technical audience....š§µ how does nomic embed vision work, and how was it trained? btw @nomic_ai shared the training and replication code! https://t.co/CigqPFO0HE https://t.co/tOMtyewKhf