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Jina Embeddings v2 Base - code
durch Jina AI
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Text embedding model (base) for Coding Languages with input of size up to 8192 tokens.
- jina-embeddings-v2-base-code is an open-source coding embedding model supporting 8192 sequence length.
- This state-of-the-art AI embedding model enables many applications, such as code review, static analyses, documentation assistance, code search, or retrieval augmented generation (RAG).
Highlights:
- State-of-the-art: This model is designed for high performance in applications across 30 programming languages and has been trained specifically to support mixed English-coding input without bias.
- Extended Context: An 8192-token length enables jina-embeddings-v2-base-code to support longer codes and document fragments, far surpassing models that only support a few hundred tokens at a time.
- Compact Size: jina-embeddings-v2-base-code is built for high performance on standard computer hardware. With only 137 million parameters, the entire model is less than 300MB. The embeddings themselves are 768 dimensions, a relatively small vector size compared to many models, saving space and run-time for applications.