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jina-embeddings-v5-omni is here! Our first universal embedding model for text, images, audio, and video. Available in two sizes: small (1.57B, 1024-dim, 32K context) and nano (0.95B, 768-dim, 8K context). Both support Matryoshka truncation down to 32 dimensions. v5-omni is back-compatible: if you already use jina-embeddings-v5-text-small/nano, the existing text indexes... show more

Jina AI

17,845 subscribers

136,129 次观看 • 4 个月前 •via X (Twitter)

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Jina AI4 个月前

Pareto frontier of all open-weight omni embedding models (supporting text, image, audio, and video). jina-embeddings-v5-omni-small (1.57B) matches the average score of LCO-7B (8.93B) while using 5.7x fewer parameters. jina-embeddings-v5-omni-nano (0.95B) outperforms LanguageBind (1.14B) by +8.9 points.

Jina AI 的头像

Jina AI4 个月前

Per-task performance across 13 task types. Gold stars mark tasks where jina-embeddings-v5-omni-small beats the best open-weight baseline (3-9x larger). Wins: image classification (68.55 vs 64.30), image clustering (84.57 vs 83.24), audio classification (55.89 vs 53.39). Main gaps: video retrieval (27.82 vs 58.73) and compositional/VQA (44.23 vs 53.40).

Jina AI 的头像

Jina AI4 个月前

v5-omni keeps the v5-text backbone completely frozen and adds pretrained vision and audio encoders connected through small trainable projectors: - Vision: Qwen3.5 vision encoders with 2x2 spatial merge. We freeze everything except the final projection layer (fc_vision_2), which we replace with a randomly initialized layer mapping into the text backbone's hidden dimension. - Audio: Qwen2.5-Omni encoder. A single randomly initialized fc_audio layer projects the 1280-dimensional output into the text backbone. - Video: Handled as a sequence of visual frames, optionally preceded by an extracted audio segment.

Jina AI 的头像

Jina AI4 个月前

Today v5-omni is available on Elastic Inference Service, HuggingFace and Jina API. Learn more about v5-omni from links below. 🤗: arXiv: blog:

Hudson Gouge 的头像

Hudson Gouge4 个月前

You guys haven’t made small (<100M) models in quite some time. I’d love to see a small variant of your v5 text models.

luca 的头像

luca4 个月前

this is great, how does it compare with cohere embed 4?

Yogin Patel 的头像

Yogin Patel4 个月前

@MichelIvan92347 any benchmark available from official end against bms3?

Connor 的头像

Connor4 个月前

id say multimodal retrieval only becomes boring enough to use when it fits existing infra. same vector space + matryoshka dims is the kind of unsexy detail that makes adoption much easier, im a big fan

𝐍𝐚𝐯𝐞𝐞 𝐀𝐢 的头像

𝐍𝐚𝐯𝐞𝐞 𝐀𝐢4 个月前

Interesting check your dm

Wes Higbee 的头像

Wes Higbee21 天前

🤤

Benedict 的头像

Benedict4 个月前

Awesome, I’ve been waiting for someone to do this

Victoria Blake 的头像

Victoria Blake2 个月前

This is a big step toward truly universal embeddings. Native support for text, images, audio, and video in a single model opens up exciting possibilities for multimodal AI applications. 🔥

validate.qa 的头像

validate.qa4 个月前

v5 omni covers text to video clean. matryoshka down to 32 dims keeps it efficient for rag stacks

FastFix AI 的头像

FastFix AI11 天前

tab complete spoiled me

alexchen 的头像

alexchen4 个月前

Great, thank you.

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Gemini 3.1 Flash-Lite is the model to build always on multimodal AI Agents. I just built a memory agent with Google ADK that runs 24/7. Feed it text, images, audio, video or PDFs. It reads, connects and consolidates everything while you sleep. 100% Opensource code.

Shubham Saboo

24,930 次观看 • 6 个月前

We partnered with artists, designers, and builders to create new AI tools that solve real problems in their creative workflows. Here’s what’s new: — Introducing Google Pics in Google Workspace: A brand-new image creation & editing tool. Move and resize objects, add text, and translate just by hovering and clicking — Big updates to صافي النيه😉: 1) You can now create with Gemini Omni Flash in Google Flow 2) Google Flow Agent is a multi-step creative partner that reasons and plans complex tasks with you. 3) Google Flow tools are custom tools you can “vibe code” for animations, video effects, text layering & more — Design live with Stitch by Google: Now, you can use text or voice prompts to edit layouts in real time then export those designs straight to code — More creative control in صافي النيه😉Music: Edit songs section by section, remix the style of full songs, and create music videos with our new Gemini Omni Flash model

Google AI

13,954,152 次观看 • 4 个月前

Meet Gemini Omni 1.1 Flash ⚡️ Our newest multimodal model for video generation and editing. It now features your favorite creative controls from Veo, plus brand new capabilities. Enjoy features like 4K upscaling, first / last frame control, and fast 360p drafting. But, the biggest upgrade? Next-level scene extension. With Omni 1.1 you can extend scenes based on 10 seconds of context from your original video, a big jump from Veo's 1 second! That means tighter consistency, deeper control, and longer, more cohesive storytelling. See it in action ↓

Google AI

153,590 次观看 • 24 天前

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.

Wan

52,172 次观看 • 11 个月前