Milvus
by LF AI & Data Foundation
Open-source distributed vector database for similarity search, with a RESTful API for collections and entities.
- Category
- Cloud & Data Platforms
- Type
- Vector database
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token, Username and password
- Docs
- Milvus API docs
02Data
What you can sync.
- Entities
- Collections
- Partitions
- Search results
Put Milvus entities next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Milvus data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- A username and password
Milvus uses an access token or a username and password. You add the credentials once, when the AI asks for them, and it tells you where to create them in LF AI & Data Foundation if you need help.
04How it works
How it works in DataMind.
-
Pick Milvus.
Open Lake, pick Milvus in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Milvus API docs.
-
Answer a few questions.
The AI reads the Milvus documentation, then asks which credentials you will use, which data to sync (for example entities 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 Milvus data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
