Weaviate
Open-source AI-native vector database with REST and GraphQL APIs for objects, collections and hybrid search.
- Category
- Cloud & Data Platforms
- Type
- Vector database
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key, OAuth 2.0
02Data
What you can sync.
- Objects
- Collections
- Vectors
- Search results
Put Weaviate objects next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Weaviate data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
- OAuth 2.0 (client ID, client secret, refresh token)
Weaviate uses an API key or OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Weaviate if you need help.
04How it works
How it works in DataMind.
-
Pick Weaviate.
Open Lake, pick Weaviate in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Weaviate API docs.
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Answer a few questions.
The AI reads the Weaviate documentation, then asks which credentials you will use, which data to sync (for example objects 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 Weaviate data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
