What you can do
What you can do with DocArray.
Store document embeddings for semantic search in retrieval pipelines
Query similar documents by vector distance for recommendation systems
Process multimodal data arrays as part of ML preprocessing workflows
Operations
DocArray operations.
Search
Index
Get Document
List Documents
How it works
How it works.
- Add itDrop the integration onto the Workflow canvas or attach it to a Scheduler job — no code.
- ConfigurePick the operation and fill in the fields; credentials are stored encrypted and resolved only at run time.
- RunExecute it inline as part of an automation, or on a cron or interval at fleet scale.
Related
More Vector Database integrations.
Annoy
Build and query approximate nearest neighbor indexes using the Annoy library
Chroma
Store, query, and manage vector embeddings in ChromaDB collections
FAISS
Perform vector similarity searches and manage indexes using FAISS library
Haystack
Build document search and question-answering pipelines with Haystack
Jina AI
Generate embeddings and run vector search queries using Jina AI services
LangChain Vectorstore
Store and query vector embeddings using LangChain-compatible vector store APIs
Wire DocArray into your operation.
AccuOSS deploys AccuOps and builds the automations that put integrations like this to work.