Jina Embeddings v2 Base EN
137M open embedding model, the first with an 8K context window.
About
Jina Embeddings v2 Base EN (jinaai/jina-embeddings-v2-base-en) is a 137-million-parameter English text embedding model released in October 2023. Based on the JinaBERT architecture with symmetric bidirectional ALiBi, it was the world's first open-source embedding model supporting an 8,192-token sequence length, trained on 400M+ sentence pairs and hard negatives.
It produces 768-dimensional vectors and performs comparably to OpenAI's text-embedding-ada-002 on standard benchmarks at a fraction of the size (0.27GB). Released under Apache 2.0, it remains a popular lightweight choice for long-document retrieval, RAG, and semantic search.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 112; Trending score 78/100 from researcher assessment.