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.

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 & evaluate

API reference, SDKs, recipes, and architecture guides.

Browse supported HuggingFace models by task and modality.

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

Media & data converters: no account, runs in your browser.

See what teams are building with Mixpeek.

Learn

Best-of comparisons: vector DBs, embedding models, moderation APIs.

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

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

Papers behind multimodal search (MUVERA, SAM 3, and more) explained.

Every term you need: embeddings to re-rankers.

Videos, diagrams & university →

Mission, team, and the multimodal vision.

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

Talk to sales, support, or press.

45-min working session on your data: leave with a running notebook.

Sign in Request Demo Get started →

Fill Mask Models

Browse AI models for multimodal decomposition and recomposition pipelines: plug any model into your extractors.

303 models available

Run models on your own files, free Schedule Demo Read Documentation

Showing 73-96 of 303 models

Fill Mask

deepset/gbert-base

109K

43

transformers

Fill Mask

microsoft/mpnet-base

105K

51

transformers

Fill Mask

ai-forever/ruRoberta-large

104K

56

transformers

Fill Mask

Rostlab/prot_bert

102K

134

transformers

Fill Mask

hfl/chinese-roberta-wwm-ext

96K

421

transformers

Fill Mask

albert/albert-base-v1

91K

13

transformers

Fill Mask

naver/efficient-splade-VI-BT-large-query

89K

18

transformers

Fill Mask

facebook/xlm-roberta-xl

88K

34

transformers

Fill Mask

FacebookAI/xlm-mlm-en-2048

87K

1

transformers

Fill Mask

Synthyra/ESM2-35M

84K

2

transformers

Fill Mask

weiweishi/roc-bert-base-zh

83K

5

transformers

Fill Mask

vinai/phobert-base-v2

83K

30

transformers

Fill Mask

flaubert/flaubert_base_cased

82K

10

transformers

Fill Mask

jackaduma/SecBERT

82K

62

transformers

Fill Mask

studio-ousia/luke-base

82K

21

transformers

Fill Mask

sbintuitions/modernbert-ja-130m

82K

49

transformers

Fill Mask

deepmind/language-perceiver

81K

21

transformers

Fill Mask

junnyu/roformer_chinese_small

78K

2

transformers

Fill Mask

moussaKam/mbarthez

78K

8

transformers

Fill Mask

cointegrated/rubert-tiny

74K

47

transformers

Fill Mask

Synthyra/Profluent-E1-300M

73K

1

transformers

Fill Mask

KBLab/bert-base-swedish-cased

72K

17

transformers

Fill Mask

westlake-repl/SaProt_650M_AF2

68K

16

transformers

Fill Mask

indolem/indobert-base-uncased

65K

48

transformers

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Retrievers

What's new in models

Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models: plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.