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Marqo is an end-to-end vector search engine that bundles embedding generation and vector retrieval into a single system, so developers do not have to run a separate model to create embeddings. You add documents or images and query in natural language, and Marqo handles vectorization, indexing, and search, including multimodal use cases that combine text and images. This all-in-one design reduces the plumbing needed to build semantic search.
Marqo is aimed at teams building search and recommendation features who want fewer moving parts than a typical embed-then-store pipeline. It offers open-source deployment and Marqo Cloud, supports custom and fine-tuned models, and focuses on relevance for real-world search, including e-commerce product search where combining images and text matters. Its tensor-based approach targets high-quality retrieval out of the box.
Pricing Model
FREEMIUM
Starting Price
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Free Options
Free version, Free trial
| Feature | Open Source | Marqo Cloud Popular |
|---|---|---|
| Built-in embedding generation | — | |
| Multimodal search | — | |
| Docker self-hosting | — | |
| Custom model support | — | |
| Community support | — | |
| Managed hosting | — | |
| Autoscaling | — | |
| Custom and fine-tuned models | — | |
| Monitoring | — | |
| Priority support | — |
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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High-performance open-source vector database
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