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Check out Tarka-v1 embedding models for search, retrieval, RAG. These models are distilled versions of larger embeddings like Qwen3-Embedding and EmbeddingGemma, but come in much smaller sizes 350M and 150M parameters.
For Model and Blog post refer :
Models : https://hf.co/collections/Tarka-AIR/tarka-embed-v1
Demo : Tarka-AIR/Tarka-Embedding
Blogpost: https://tarka-air.gitbook.io/home/tarka-v1/tarka-embedding-v1
For performance please checkout the leaderboards:
MTEB : mteb/leaderboard
FreshStack : freshstack/leaderboard
For Model and Blog post refer :
Models : https://hf.co/collections/Tarka-AIR/tarka-embed-v1
Demo : Tarka-AIR/Tarka-Embedding
Blogpost: https://tarka-air.gitbook.io/home/tarka-v1/tarka-embedding-v1
For performance please checkout the leaderboards:
MTEB : mteb/leaderboard
FreshStack : freshstack/leaderboard
