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Marqo (marqo)

Marqo is an open-source, multimodal vector search engine that lets developers index text and images, generate embeddings on the fly, and run tensor, lexical, and hybrid search through a single REST API. Built on Vespa for storage and retrieval and FastAPI for the HTTP surface, Marqo bundles model inference (Sentence Transformers, OpenCLIP, ONNX) inside the engine so a single docker run produces a working semantic search stack. The Apache 2.0 open-source engine has been marked deprecated by the maintainers as Marqo pivots to a hosted ecommerce search product, but the project remains widely forked, downloaded, and self-hosted, with active sibling repositories for the Python client, Terraform provider, InstantSearch client, ecommerce embedding models, and Generalised Contrastive Learning research.

APIs.json: https://raw.githubusercontent.com/api-evangelist/marqo/refs/heads/main/apis.yml

Scope

  • Type: Index
  • Position: Consumer
  • Access: 3rd-Party

Tags

  • Vector Database
  • Vector Search
  • Multimodal
  • Semantic Search
  • Embeddings
  • AI
  • Machine Learning
  • Open Source
  • Ecommerce Search

Timestamps

  • Created: 2026-05-08
  • Modified: 2026-05-25

APIs

Marqo REST API

The Marqo REST API is the HTTP surface exposed by the open-source engine (default http://localhost:8882). It provides index lifecycle management, document add/update/get/delete, lexical/tensor/hybrid search, recommendations, embedding generation, model lifecycle, telemetry, and health endpoints. The same surface is served by Marqo Cloud at https://api.marqo.ai, and the live OpenAPI schema is published by the running engine at /openapi.json with Swagger UI at /docs.

Tags

  • REST
  • Indexes
  • Documents
  • Search
  • Embeddings
  • Models
  • Multimodal

Properties

Common Properties

Maintainers

FN: Kin Lane Email: kin@apievangelist.com

About

Vector search engine with end-to-end embedding and reranking.

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