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 121-144 of 303 models

Fill Mask

neulab/codebert-javascript

38K

16

transformers

Fill Mask

hfl/chinese-macbert-large

37K

55

transformers

Fill Mask

mikemayuare/SELFYAPE

37K

transformers

Fill Mask

indolem/indobertweet-base-uncased

35K

13

transformers

Fill Mask

UBC-NLP/MARBERTv2

33K

14

transformers

Fill Mask

permitt/galton-modernbertic-large

33K

6

transformers

Fill Mask

MMADS/MoralFoundationsClassifier

33K

2

transformers

Fill Mask

kuleshov-group/mdlm-owt

31K

23

transformers

Fill Mask

InstaDeepAI/nucleotide-transformer-v2-50m-multi-species

31K

9

transformers

Fill Mask

lfoppiano/MatTPUSciBERT

30K

3

transformers

Fill Mask

ai4bharat/IndicBERTv2-MLM-only

30K

9

transformers

Fill Mask

huggingface/CodeBERTa-small-v1

30K

93

transformers

Fill Mask

multimolecule/ernierna

30K

multimolecule

Fill Mask

jackaduma/SecRoBERTa

30K

26

transformers

Fill Mask

pucpr/biobertpt-bio

29K

7

transformers

Fill Mask

cahya/bert-base-indonesian-1.5G

28K

7

transformers

Fill Mask

klue/roberta-large

28K

64

transformers

Fill Mask

youscan/ukr-roberta-base

28K

25

transformers

Fill Mask

microsoft/deberta-large

26K

19

transformers

Fill Mask

microsoft/codebert-base-mlm

25K

47

transformers

Fill Mask

PlanTL-GOB-ES/roberta-base-biomedical-clinical-es

25K

19

transformers

Fill Mask

Davlan/afro-xlmr-large-76L

25K

5

transformers

Fill Mask

hfl/chinese-macbert-base

25K

168

transformers

Fill Mask

m3rg-iitd/matscibert

24K

28

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.