What you can do
What you can do with Chroma.
Store document embeddings for semantic search in RAG pipelines
Query similar items by vector proximity for recommendation workflows
Manage embedding collections and update indexes as data changes
Operations
Chroma operations.
Query
Add Documents
Update Documents
Delete Documents
Get Documents
Create Collection
Delete Collection
List Collections
Count
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
DocArray
Store, query, and manage document vectors and embeddings with DocArray
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 Chroma into your operation.
AccuOSS deploys AccuOps and builds the automations that put integrations like this to work.