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

Start here

Build

Retrievers

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

Feature Extractors

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

Integrations

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

Embeddings

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

By Industry

Advertising

Talent search, brand safety, creative analytics.

Entertainment

Scene search, recommendation, archive access.

E-Commerce

Visual search, PDP enrichment, catalog QA.

Education

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

Brand & Ad Safety

Pre-publish content screening at bid-time speeds.

View all use cases →

Build

Documentation

API reference, SDKs, recipes, and architecture guides.

Blog

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

Models

Browse supported HuggingFace models by task and modality.

Showcase

See what teams are building with Mixpeek.

Education

Multimodal University

Fundamentals of multimodal retrieval, modules + certs.

Data Glossary

Every term you need: embeddings to re-rankers.

Video Library

Talks, demos, and customer sessions on demand.

Comparisons

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

Company

Mission, team, and the multimodal vision.

Careers

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

Contact

Talk to sales, support, or press.

Pilot Program

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

Pricing

Models/Embeddings/facebook/vjepa2-vitg-fpc64-256

HFVisual Embeddings

vjepa2-vitg-fpc64-256

by facebook

372Kdl/month

HuggingFace Use in Pipeline

Identifiers

Model ID

facebook/vjepa2-vitg-fpc64-256

Feature URI

mixpeek://video_extractor@v1/facebook_vjepa2_vitg_fpc64_256_v1

Specification

FrameworkHF

Organizationfacebook

FeatureVisual Embeddings

Output768-dim vector

Modalitiesvideo, image

RetrieverVector Search

Downloads/mo372K

Build a pipeline with vjepa2-vitg-fpc64-256

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

Open Studio

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

facebook/encodec_24khz

Audio Embeddings