Vectara
RAG and agent platform with retrieval, grounded generation and hallucination scoring, with a REST API for corpora and queries.
- Category
- Cloud & Data Platforms
- Type
- AI infrastructure
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key, OAuth 2.0
- Docs
- Vectara API docs
02Data
What you can sync.
- Corpora
- Documents
- Query history
- Agents
Put Vectara corpora next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Vectara 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)
Vectara 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 Vectara if you need help.
04How it works
How it works in DataMind.
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Pick Vectara.
Open Lake, pick Vectara in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Vectara API docs.
-
Answer a few questions.
The AI reads the Vectara documentation, then asks which credentials you will use, which data to sync (for example corpora and documents), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Vectara data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
