iai collections

Knowledge bases (searchable tables of chunks) inside a pgvector database

Synopsis

Manage collections within a database.

A collection is a table of chunks (rows) — each chunk is text plus its vector embedding(s) — that you search by meaning or keyword; it's what backs a knowledge base. It lives inside an existing pgvector database, so every command requires --database. Use 'iai databases create' first to provision the database.

Run 'iai collections schema' to see the body format for every --file command.

Options

  -h, --help   help for collections

Options inherited from parent commands

      --api-key string               API key for authentication
      --cfg-file string              Path to YAML config file with organization, project, and optional service definitions
      --deployment-hostname string   Hostname for the deployment API (default "https://deployment.interactive.ai")
      --hostname string              Hostname for the API (default "https://app.interactive.ai")

SEE ALSO

• iai - InteractiveAI's CLI

• iai collections chunks - Manage the chunks (rows) in a collection

• iai collections create - Create a collection from a config file

• iai collections delete - Delete a collection and all its data

• iai collections describe - Describe a collection's configuration

• iai collections documents - Inspect documents (chunks grouped by documentId)

• iai collections list - List collections in a database

• iai collections patch - Update a collection's mutable config from a file

• iai collections schema - Show the file schemas for the --file-based collection commands

• iai collections search - Search a collection (single-lane vector search)

• iai collections slots - Manage a collection's vector slots and their indexes

• iai collections stats - Show a collection's chunk count, size, and index status