The best open-source embedding models

This post contributes to the Baseten AI Model Deployment and Serving Platform by providing a curated list and technical details of top open-source embedding models. It details specific models like Qwen3 8B Embedding, EmbeddingGemma, Nomic Embed Code, BAAI bge-reranker-v2-m3, and AllanAI Llama 3.1 Tulu 3 8B Reward, including their parameter sizes, base models, licenses, and recommended hardware for optimal inference (e.g., FP8 on NVIDIA B200 GPUs, H100 MIG GPUs). It also elaborates on the role of embedding models in AI applications (agents, RAG, semantic search) and discusses the importance of real-world product metrics over benchmarks. A key technical contribution is the emphasis on optimizing for latency and throughput using the Baseten Embedding Inference (BEI) engine, highlighting its performance benefits.