Embeddings

Jina Embeddings v2 text embedding models.

Jina Embeddings v3 with task-specific optimization and flexible dimensions.

Jina Embeddings v5 model with task-specific LoRA adapters and flexible dimensions. Small/nano sizes support text-only; the omni variant also accepts images, videos, audio, and PDFs in a single shared vector space. Each top-level list item is a single modality (one Doc class), with one exception: a MergedContentGroup ({"content": [...]}) fuses multiple chunks (text + image/video/audio) into a single embedding via one model forward pass.

Jina Embeddings v4 multimodal model for text, images, and PDFs.

Code embedding model (500M) for code search and understanding.

Code embedding model (1.5B) for code search and understanding.

CLIP v1 multimodal model for images and text in a shared vector space.

CLIP v2 with Matryoshka representation learning for flexible dimensions.

ColBERT v1 for token-level late interaction retrieval.

ColBERT v2 with Matryoshka representation learning for flexible dimensions.

ELSER v2 request schema.