jina-embeddings-v5-omni-nano
by jinaai
Compact omni-modal embedding model for text, images, video, and audio in one vector space
jinaai/jina-embeddings-v5-omni-nanomixpeek://image_extractor@v1/jina_embeddings_v5_omni_nanoOverview
Jina Embeddings v5 Omni Nano is the smallest model in the Jina v5 omni family, placing text, images, video frames, and audio into a single shared vector space. At ~239M parameters, it runs efficiently on edge devices and high-throughput pipelines.
The model shares the same text embedding space as jina-v5-text, meaning existing text indexes remain backwards-compatible when adding multimodal content. This makes it the lowest-friction path to cross-modal search.
Architecture
Multimodal transformer encoder with separate input projections for text, image, video, and audio modalities. All modalities project into a shared embedding space. Matryoshka representation learning enables flexible output dimensions.
Mixpeek SDK Integration
import { Mixpeek } from "mixpeek";
const mx = new Mixpeek({ apiKey: "API_KEY" });
// Managed: create a collection over a bucket; Mixpeek runs this model's extractor
const collection = await mx.collections.create({
namespace_id: "my-namespace",
collection_name: "my-collection",
source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
feature_extractor: {
feature_extractor_name: "visual_embedding",
version: "v1",
parameters: { model_id: "jinaai/jina-embeddings-v5-omni-nano" },
},
});Capabilities
- Omni-modal: text, images, video, audio in one space
- Backwards-compatible with jina-v5-text indexes
- ~239M parameters for edge/high-throughput deployment
- Matryoshka dimensions for flexible storage
- Apache 2.0 license
Use Cases on Mixpeek
Benchmarks
| Dataset | Metric | Score | Source |
|---|---|---|---|
| Cross-modal retrieval | Recall@10 | Competitive with 677M variant | Jina AI, May 2026 |
Performance
Common Pipeline Companions
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Specification
Research Paper
Jina Embeddings v5 Omni: Multimodal Embeddings for Text, Image, Audio, and Video
arxiv.orgBuild a pipeline with jina-embeddings-v5-omni-nano
Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.
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