LanceDB
Multimodal vector database built on the Lance columnar format, with an embedded library and LanceDB Cloud REST API.
- Category
- Cloud & Data Platforms
- Type
- Vector database
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
- Docs
- LanceDB API docs
02Data
What you can sync.
- Tables
- Rows
- Vector search results
Load LanceDB tables into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other LanceDB data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
LanceDB uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in LanceDB if you need help.
04How it works
How it works in DataMind.
-
Pick LanceDB.
Open Lake, pick LanceDB in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the LanceDB API docs.
-
Answer a few questions.
The AI reads the LanceDB documentation, then asks which credentials you will use, which data to sync (for example tables and rows), 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 LanceDB data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
