NEWWhy single embeddings fail for video — and what to do instead.Why single embeddings fail for video.Read the post →

Ingest & Store

Feature Extractors

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

Vector Store (MVS)

Mixpeek Vector Store: horizontally scaled, feature-aware indexes.

Retrieve & Analyze

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

Group scenes, faces or objects by similarity with Thompson sampling.

Encode your domain as versioned ontologies enforced at query time.

By Industry

Talent search, brand safety, creative analytics.

Scene search, recommendation, archive access.

Visual search, PDP enrichment, catalog QA.

Lecture search, transcript Q&A, content safety.

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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.

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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.

Latest releases, fixes, and improvements.

Education

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.

Integrations Pricing

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Model not found

The model cross-encoder/ettin-reranker-1b-v1 doesn't exist in our catalog.

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