Justin Miller
Justin Miller is a Principal Software Engineer specializing in backend and ML pipelines. He lives in Los Angeles with his wife Megan and their dog Eddie.
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
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
Creative DNA
Map, search, and reuse the moments that perform. Plugs into iconik & Mux.
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.
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.
Build & evaluate
Documentation
API reference, SDKs, recipes, and architecture guides.
Models
Browse supported HuggingFace models by task and modality.
Comparisons
Mixpeek vs. Pinecone, Weaviate, Twelve Labs, more.
Showcase
See what teams are building with Mixpeek.
Learn
Curated Lists
Best-of comparisons: vector DBs, embedding models, moderation APIs.
Guides
Vendor-neutral deep dives on perception, retrieval, and embeddings.
Blog
Launches, deep dives, and field notes from our engineers.
Research
Papers behind multimodal search (MUVERA, SAM 3, and more) explained.
Data Glossary
Every term you need: embeddings to re-rankers.
Pricing
