Embedding & Retrieval

Models that generate vector embeddings for semantic search, retrieval, and re-ranking.

5 models listed 5 total available

Semantic search Document retrieval RAG pipelines Similarity matching Clustering

Name	Size	Context Length	Max Output	Actions
Alibaba-NLP/E2Rank-0.6B-Embedding-Only	0.6B	32,768	—	Playground
bespin-global/bge-reranker-v2-gemma-fine-tuning	2B	8,192	—	Playground
imone/Llama-3-8B-fixed-special-embedding	8B	8,192	—	Playground
jbaron34/Qwen2.5-0.5b-bebop-reranker-new-small	0.5B	32,768	—	Playground
lightblue/lb-reranker-0.5B-v1.0	0.5B	32,768	—	Playground

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