Leverage Embeddings APIs from Free API Hub to enhance AI and NLP applications with semantic search, vector representations, and intelligent data processing.
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E5-Mistral by Microsoft is a free open-source 7B embedding model that tops the MTEB leaderboard. MIT license, 4096-dim embeddings, multilingual, perfect for production-grade RAG and semantic search at enterprise scale.
https://huggingface.co/intfloat/e5-mistral-7b-instructNomic Embed is a free open-source text embedding model that beats OpenAI's text-embedding-ada-002 and matches text-embedding-3-small. Apache 2.0, 8K context, fully reproducible. Best free embedding for RAG and semantic search.
https://www.nomic.ai/blog/posts/nomic-embed-text-v1BGE v3 by BAAI is the leading free open-source multilingual embedding model. Supports 100+ languages, dense + sparse + colbert retrieval in one model, 8K context. MIT license — best free embedding for global RAG.
https://huggingface.co/BAAI/bge-m3