Chroma
Open-source embedding database (self-hosted or Chroma Cloud) for AI applications, with an HTTP API for collections and records.
- Category
- Cloud & Data Platforms
- Type
- Vector database
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
- Docs
- Chroma API docs
02Data
What you can sync.
- Records
- Collections
- Embeddings
- Query results
Put Chroma records next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Chroma data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Chroma uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Chroma if you need help.
04How it works
How it works in DataMind.
-
Pick Chroma.
Open Lake, pick Chroma in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Chroma API docs.
-
Answer a few questions.
The AI reads the Chroma documentation, then asks which credentials you will use, which data to sync (for example records and collections), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Chroma data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
