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

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

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

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.

Sign in Request Demo Start free →

Summarization Models

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

134 models available

Schedule Demo Read Documentation

Showing 121–134 of 134 models

Summarization

SamSJackson/paraphrase-dipper-no-ctx

265

2

transformers

Summarization

IMISLab/GreekT5-umt5-small-greeksum

259

1

transformers

Summarization

IDEA-CCNL/Randeng-Pegasus-523M-Summary-Chinese

258

58

transformers

Summarization

IlyaGusev/rubert_telegram_headlines

257

18

transformers

Summarization

DunnBC22/pegasus-multi_news-NewsSummarization_BBC

251

2

transformers

Summarization

ml6team/mt5-small-german-finetune-mlsum

246

11

transformers

Summarization

knkarthick/MEETING-SUMMARY-BART-LARGE-XSUM-SAMSUM-DIALOGSUM

246

13

transformers

Summarization

mradermacher/MedraQ-8b-abliterated-i1-GGUF

241

transformers

Summarization

Wespeaker/wespeaker-voxceleb-resnet34-LM

235

9

Summarization

suriya7/bart-finetuned-text-summarization

230

9

transformers

Summarization

google/pegasus-billsum

227

4

transformers

Summarization

mradermacher/NoticIA-7B-GGUF

224

1

transformers

Summarization

YuvrajSingh9886/LFM2.5-350M-grpo-summarization-length-only

223

mlx

Summarization

mradermacher/Clinician-Note-2.0a-GGUF

218

1

transformers

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