Nomic Embed v1.5
Fully open-source embedding model with Matryoshka support
Verdict
Truly open — fully auditable training data and code. Competitive MTEB scores at 137M params. Runs on CPU. Best for teams requiring full transparency and reproducibility.
Other Embedding Models
- text-embedding-3-largeProduction
OpenAI's most capable embedding model with 3072 dimensions
- Gemini EmbeddingProduction
Google's unified embedding model — topped the MTEB multilingual leaderboard at launch
- Cohere Embed v3Production
Multilingual embedding model optimised for search and RAG
- Voyage AI 3Production
Specialised embeddings for code, legal, finance, and multilingual
- BGE-M3Stable
BAAI multi-granularity multilingual embedding with dense + sparse
- E5-Mistral-7BStable
Large LLM-based embedding model for maximum retrieval quality

