Text embeddings.
Embedding models convert text into fixed-length vectors that capture semantic meaning. The bedrock of every RAG pipeline, vector database, and semantic-search system. Most embedding models are tiny enough to run on consumer GPUs or even CPU.
≥ 2GB VRAM
Consumer tier
Best GPUs
Top GPUs for this workload.
Ranked by suitability — higher fitness scores mean the card handles this workload more comfortably.
No GPU recommendations linked to this workload yet.
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Best AI models
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Top models for this workload.
Nomic Embed Text
by Nomic AI
· Nomic Embed
· 8,192 ctx
Open embedding model — 69M Ollama pulls, the local default.
mxbai-embed-large
by Mixedbread AI
· Mixedbread Embed
· 512 ctx
335M embedding model — top MTEB scores for its size.
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1B
BGE-M3
by BAAI (Beijing Academy of AI)
· BGE
· 8,192 ctx
Multilingual + multifunctional embedding (100+ languages).