Efficient Code Embeddings from Code Generation Models

Daria Kryvosheieva; Saba Sturua; Michael Günther; Han Xiao

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arXiv · 2508.21290

Efficient Code Embeddings from Code Generation Models

Daria Kryvosheieva·Saba Sturua·Michael Günther·Han Xiao

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Abstract

jina-code-embeddings is a novel code embedding model suite designed to retrieve code from natural language queries, perform technical question-answering, and identify semantically similar code snippets across programming languages. It makes innovative use of an autoregressive backbone pre-trained on both text and code, generating embeddings via last-token pooling. We outline the training recipe and demonstrate state-of-the-art performance despite the relatively small size of the models, validating this approach to code embedding model construction.

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Daria Kryvosheieva, Saba Sturua, Michael Günther, Han Xiao. 2025-08-29. Efficient Code Embeddings from Code Generation Models. https://arxiv.org/abs/2508.21290

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