Cohere Embed 4 (April 15, 2025), promotes itself as the new king of enterprise oriented multimodal model that makes your agents way smarter about your company’s context by understanding “complex multimodal business materials” (All those PDFs filled with graphs, pictures, and equations!)
Most importantly, the model has been tailored for security-minded industries like finance, healthcare and manufacturing to find all of those important insights, all of those vital correlations in the heap of your business documents. Specifically the model should be great at RAG-ing through: product specification documents, repair guides, supply chain plans , investor presentations, annual financial reports, M&A due diligence files, medical records, procedural charts, clinical trial reports.
Embed 4: The class stats! 💪✨
- Multimodal Magic! ✨: Embed 4 supposedly understands documents with mixed content – text, images, tables, graphs, code, diagrams – all together! It creates one unified vector representing the whole messy thing. Bye-bye, pre-processing hell? 🙌
- Context Window for DAYS! 📚: We’re talking 128K tokens! That’s like ~200 pages. Feed it those monster annual reports, giant manuals, or gnarly legal contracts. It won’t (allegedly) sweat.
- Speaks the World! 🌍🗣️: Supports 100+ languages (including key biz ones like Japanese, Korean, Arabic, French…). Plus, it can search across languages. Nifty!
- Handles Real-World Mess! 👍: Typos? Weird formatting? Scanned docs? Bad handwriting? Embed 4 is trained to be robust against the chaos of real business data. Less cleaning for you!
- Storing massive vectors costs cash! Embed 4 is smart – it can output compressed embeddings that slash storage costs by up to 83% while keeping search accuracy high. Smart!
In any case, Cohere’s Embed 4 looks like a serious upgrade for anyone building enterprise search or RAG applications. Multimodal understanding, huge context, multilingual skills, robustness, AND cost savings? Sounds pretty sweet. If you’re tired of fighting with embeddings that don’t get your data, this is definitely one to check out! 🚀
