NEWMVS for embeddings. Managed for files. Both on object storage.Vectors or files. Pick a path.Start →

Start here

Vector Store (MVS)

Bring your own vectors. Dense, sparse, and BM25 search on object storage.

Managed Indexing

Connect a bucket and auto-extract scenes, faces, OCR, transcripts, and embeddings.

Build

Compose multi-stage search in <100ms: filter, join, rerank.

Feature Extractors

Typed pipelines for faces, scenes, transcripts, OCR, fingerprints.

S3, GCS, R2, Mux, LangChain, MCP, and more. Connect your stack.

Generate and store embeddings from 50+ models, then search them.

By Industry

Map, search, and reuse the moments that perform. Plugs into iconik & Mux.

Talent search, brand safety, creative analytics.

Scene search, recommendation, archive access.

Visual search, PDP enrichment, catalog QA.

Lecture search, transcript Q&A, content safety.

View all solutions →

By Use Case

Face & Person Search

Find anyone across video libraries in milliseconds.

IP & Copyright Detection

Logos, songs, faces: one pipeline, one report.

Visual Taste & Recs

Scene-similarity ranked recommendations with RL.

Brand & Ad Safety

Pre-publish content screening at bid-time speeds.

View all use cases →

Build

API reference, SDKs, recipes, and architecture guides.

Launches, deep dives, and field notes from our engineers.

Browse supported HuggingFace models by task and modality.

See what teams are building with Mixpeek.

Education

Vendor-neutral deep dives on perception, retrieval, and embeddings.

Multimodal University

Fundamentals of multimodal retrieval, modules + certs.

Every term you need: embeddings to re-rankers.

Talks, demos, and customer sessions on demand.

Mixpeek vs. Pinecone, Weaviate, Twelve Labs, more.

Mission, team, and the multimodal vision.

We're hiring across research, infra, and design.

Talk to sales, support, or press.

White-glove 30-day production pilot for new customers.

Sign in Request Demo Get started →

Models/Embeddings/facebook/dinov3-convnext-large-pretrain-lvd1689m

HFVisual Embeddings

dinov3-convnext-large-pretrain-lvd1689m

by facebook

120Kdl/month

HuggingFace Run on your data, free

Identifiers

Model ID

facebook/dinov3-convnext-large-pretrain-lvd1689m

Feature URI

mixpeek://image_extractor@v1/facebook_dinov3_convnext_large_v1

Explore on Mixpeek

More Embeddings models

Compare alternatives in this category

Best Multimodal Embedding Models

Hand-picked tools & platforms compared

How CLIP, SigLIP & CLAP Work

Deep-dive technical guide

Feature Extractors

See how Mixpeek runs models as extractors

Mixpeek Vector Store

Store & search embeddings at scale

Usage-based pricing for pipelines

All Curated Lists

Compare models, APIs & infrastructure

Specification

FrameworkHF

Organizationfacebook

FeatureVisual Embeddings

Output768-dim vector

Modalitiesvideo, image

RetrieverVector Search

Downloads/mo120K

Build a pipeline with dinov3-convnext-large-pretrain-lvd1689m

Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.

Run on your data, free

Alternative Models

openai/clip-vit-large-patch14

Visual Embeddings

google/siglip-base-patch16-224

Visual Embeddings

google/siglip2-giant-opt-patch16-384

Visual Embeddings

facebook/dinov2-large

Visual Embeddings

Related in Embeddings

laion/clap-htsat-fused

Audio Embeddings

facebook/pe-av-large

Audio Embeddings

tsinghua-ee/WAVE-7B

Audio Embeddings

facebook/encodec_24khz

Audio Embeddings