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

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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.

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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.

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.

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What is BYOD

BYOD - Bring Your Own Data

A concept allowing users to bring data from varied sources (sensors, documents, media) into the platform.

How It Works

BYOD enables users to integrate their own data into a platform, allowing for personalized data processing and analysis. This approach supports diverse data types and sources, enhancing flexibility and user control.

Technical Details

Platforms supporting BYOD typically offer APIs and connectors to facilitate data ingestion from various sources. They may also provide tools for data transformation and normalization to ensure compatibility with existing systems.

Best Practices

Ensure data compatibility with platform requirements
Implement robust data validation and transformation
Maintain data security and privacy
Use standardized formats for data exchange
Regularly update data integration processes

Common Pitfalls

Ignoring data compatibility issues
Overlooking data security and privacy concerns
Inadequate data validation and transformation
Using non-standard data formats
Failing to update integration processes

Advanced Tips

Implement automated data validation
Use data transformation pipelines
Consider data lineage tracking
Optimize for real-time data integration
Regularly review and improve data processes

Managed Mixpeek

Put multimodal search to work

Connect a bucket and Mixpeek runs the whole multimodal search pipeline for you: extraction, indexing, and search over your own objects. No models to wire up, nothing to host.

Start with Managed

MVS · bring your own

Already have vectors?

Keep your embeddings on your own cloud and run dense, sparse, and BM25 search directly on object storage. From $25/mo.

Building an agent? Connect Mixpeek over MCP

Related Terms

ACID API Blob Storage CLIP Embedding