Integration · Vector Database

Marqo

Run multimodal tensor search across text and images using Marqo. Build semantic search features without managing embedding pipelines.

SchedulerWorkflow

What you can do

What you can do with Marqo.

Operations

Add Documents

Get Document

List Indexes

How it works

Add it
Drop the integration onto the Workflow canvas or attach it to a Scheduler job — no code.
Configure
Pick the operation and fill in the fields; credentials are stored encrypted and resolved only at run time.
Run
Execute it inline as part of an automation, or on a cron or interval at fleet scale.

Build and query approximate nearest neighbor indexes using the Annoy library

Store, query, and manage vector embeddings in ChromaDB collections

Store, query, and manage document vectors and embeddings with DocArray

Perform vector similarity searches and manage indexes using FAISS library

Build document search and question-answering pipelines with Haystack

Generate embeddings and run vector search queries using Jina AI services

AccuOSS deploys AccuOps and builds the automations that put integrations like this to work.