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DirectoryAI & ML PlatformsVector Databases & RAGMarqo

Marqo

Open Source

About Marqo

Marqo's product trains a dedicated AI model on a retailer's own product catalog and shopper behavior data. It installs via a pixel that captures user interaction data such as clicks, carts, and purchases. It can be deployed through an API or through one-click integrations with ecommerce platforms.

Used for

  • Capturing user interaction data such as clicks, carts, and purchases.
  • Generating tags and collections based on relevance and conversion.
  • Performing image and multimodal search.
  • Automating ranking, boosts, filters, and collections.
  • Supporting conversational search and guided discovery.

Who it is for

  • Enterprise brands building product discovery experiences.

From Marqo's own website, read 2026-10-23. How we build listings.

How to evaluate Vector Databases & RAG

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Marqo. It comes from our Vector Database & AI Search buyer guide.

25%
Retrieval Quality & Index Options
ANN algorithms offered (HNSW, IVF/IVF-PQ, DiskANN, GPU/CAGRA), achievable recall@k at your latency budget, quantization for memory savings, and whether the index supports real-time inserts or needs rebuilds
20%
Hybrid Search & Filtering at Scale
Native vector+keyword (BM25 / sparse) fusion, reranking, and — critically — in-graph metadata pre-filtering that holds recall under selective filters rather than degrading to brute force or empty result sets
20%
Scale, Performance & Freshness
Vector ceiling per node and horizontally, p95/p99 latency and QPS under your real filters, multi-tenancy and namespaces, multi-region, and how fast new or updated embeddings become queryable (insert-to-searchable lag)
15%
Operating Model & Lock-In
Managed SaaS vs. self-hosted vs. bring-your-own-cloud, license terms (Apache 2.0 / BSD vs. proprietary), data-export and migration path, and how much sync/ETL you take on if vectors live apart from the source data
10%
Security, Governance & Residency
RBAC and API-key scoping, encryption in transit and at rest, SOC 2 / ISO 27001 / GDPR posture, data residency and VPC/air-gapped options, and inherited governance (e.g. Unity Catalog, platform IAM) where applicable
10%
Developer Experience & Ecosystem
Client SDKs and API ergonomics, LangChain / LlamaIndex / framework integrations, built-in or hosted embedding and reranking, docs quality, and operational maturity (backups, observability, upgrades)

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Quick Facts

www.marqo.ai Pricing page
CategoryAI & ML Platforms
SubcategoryVector Databases & RAG
DeploymentAPI, Integrations (Shopify, Adobe Commerce, Salesforce Commerce Cloud)

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Keep reading

Buyer Guide
Vector Database & AI Search
Job 02
Govern the AI already in use

Staff already use AI tools nobody approved, and most SaaS products now ship AI features by default.

Job 04
Control technology spend

AI is billed per use, so its cost grows with adoption while the rest of the budget is under review.