Nomic Embed

Nomic Embed is an open-source text embedding model designed for semantic search, Retrieval-Augmented Generation (RAG), and clustering tasks. Built on the GPT-NeoX architecture and released under Apache 2.0, it produces dense vector representations with a large context window for processing long documents. It achieves competitive results on the MTEB benchmark and is available via Hugging Face, Sentence-Transformers, and major vector databases. The Nomic platform extends beyond embeddings into domain-specific agentic workflows for architecture, engineering, and construction (AEC) firms. It automates drawing reviews, code compliance checks, submittal reviews, and technical report writing. Recent updates include an improved drawing review with sub-agents, a drawing standards creation workflow, DOCX templates, a tabbed interface, and integrations with Fieldwire and Bentley ProjectWise. Nomic offers a paid Business plan at $40/user/month (annual, 25-seat minimum) with $20 included AI usage per seat, plus an Enterprise plan with custom pricing for advanced security, compliance, and support. For developers wanting full control, the model weights are open and free, while the platform provides a managed experience. Nomic positions its platform as a cost-saving alternative to manual processes, with documented savings of 5x to 16x on tasks like RFI response and compliance checks. For teams that prefer self-hosting, Nomic Embed can be fine-tuned and deployed on consumer GPUs. Unlike proprietary alternatives from OpenAI or Cohere, Nomic offers transparent model weights and training data. However, the model is English-only, and high-throughput production requires dedicated GPU infrastructure. The platform is best suited for AEC firms handling large volumes of drawings and project documents.