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Where innovation meets progress

Command-R-Plus

Command-R-Plus

Advanced RAG-Centric AI by Cohere

What is Command-R+?

Command-R+ (also known as Command-R-Plus) is Cohere’s flagship open-weight language model, purpose-built for retrieval-augmented generation (RAG). It builds on the architecture of Command-R but features enhanced capabilities, including support for 128K token context, superior accuracy, and lower hallucination rates in document-grounded tasks.

Whether you’re powering enterprise search, QA bots, summarizers, or agentic systems, Command-R+ gives you production-grade RAG performance—with fully open weights for unrestricted development and research.

Key Features of Command-R+

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128K Context Window

  • Ideal for document-heavy tasks like legal QA, research synthesis, and full-report summarization.

RAG-Optimized Design

  • Engineered to integrate seamlessly with retrieval systems—vector databases, search APIs, and knowledge graphs.

Grounded Generation Accuracy

  • Reduced hallucination risk through fine-tuning on retrieval-augmented instruction tasks.

Open-Weight, Permissive License

  • All model weights, tokenizer, and configs are available—allowing local deployment, research, and fine-tuning.

Efficient Inference at Scale

  • Optimized for speed and stability across enterprise GPUs and deployment environments.

Customizability for Vertical Domains

  • Fine-tune or adapt the model to your unique data in industries like healthcare, legal, fintech, or education.

Key Features of Command-R+

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Enterprise Knowledge Assistants

  • Answer internal queries from HR manuals, IT policies, or support knowledge bases with accurate, grounded AI.

Search-Augmented Applications

  • Use with retrieval systems to build fast, intelligent search and semantic QA tools.

Document QA & Summarization

  • Ingest and process long documents, from legal contracts to clinical notes, with multi-turn comprehension.

Multi-Source Agentic Workflows

  • Power AI agents that can cite, extract, and reason over retrieved documents in real time.

Open-Source Research & Model Auditing

  • Analyze model behavior, benchmark performance, or build domain-specific models with full transparency.

Command-R+

vs

Other Leading Models

Feature GPT-4 Turbo Claude 3 Opus Mistral 7B Command-R+
Model Type MoE MoE Dense Transformer Dense Transformer
Open Weights
Max Context Length ~128K ~200K 32K 128K
RAG Optimization Medium High Low Very High
Fine-Tuning Support
Hallucination Risk Medium Low Medium Very Low
Best Use Case General Tools QA + Docs Light NLP Apps Enterprise RAG AI

The Future

Open-Weight AI, Built for Grounded Intelligence

As the AI industry demands more transparency, explainability, and domain adaptability, Command-R+ delivers. With open access, high accuracy, and retrieval-first intelligence, it's an ideal foundation for the next wave of intelligent systems.

Get Started with Command-R-Plus

Ready to bring grounded AI into your products or platforms? Contact Zignuts today to deploy Command-R+ into your enterprise RAG workflows, QA bots, or AI agents. 🔓 Open. ⚙️ Reliable. 🔍 Built for Real-World Knowledge.

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