Search and RAG

Jina Embeddings

Strong multilingual embeddings with long context; v5-omni understands text, images and audio. Recent versions are open for non-commercial use only.

Developer
Jina AI, Germany
First release
Sep 2023
Latest release
May 2026
Sizes
33M – 3.8B
License
Commercial use with conditionsv2: Apache 2.0; v3 and v5: CC-BY-NC (non-commercial only, businesses need a paid license); v4: Qwen Research License
Russian
Supported
Ready-made builds
GGUF, MLX (Apple)
Running
On your own serverAlso runs without a GPU
Industries
Software development, Customer support, Documents and accounting, Retail and marketplaces
Deploy on your server Hugging Face

What it does

  • Search across documents in many languages
  • Search across images and scans
  • Classification and clustering

Where it is used

Knowledge basesMediaE-commerce

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. v5-omni
  2. v5-text
  3. v4
  4. v3
  5. v2

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can Jina Embeddings be used in a commercial project?

With conditions. License: v2: Apache 2.0; v3 and v5: CC-BY-NC (non-commercial only, businesses need a paid license); v4: Qwen Research License. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Jina Embeddings need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Jina Embeddings support Russian?

Yes, Russian is listed on the model card.

Where can I download Jina Embeddings and what does it cost?

The Jina Embeddings weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Comparisons

Similar models

Search and RAGBGE-M3BAAI · ChinaCommercial use allowed

A model for meaning-based search in about a hundred languages. The core of RAG: the bot finds the right part of a document before answering.

DetailsSearch and RAGQwen3 Embedding / RerankerAlibaba (Qwen) · ChinaCommercial use allowed

Embeddings and rerankers based on Qwen3, among the best open ones for multilingual search, including Russian. VL versions search images, screenshots and video.

DetailsSearch and RAGNomic EmbedNomic AI · USACommercial use allowed

Fully open embeddings, with weights, data and training code. v2 is multilingual on MoE; there are versions for code and for searching PDF pages.

Details

Source: huggingface.co/jinaai/jina-embeddings-v5-omni-small. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.