Vector Database

Lightweight semantic-context lookup designed for AI agents.

Returns a compact list of records most semantically relevant to the query. * Custom field values are emitted in short notation only (value, id, created, updated, * customFieldInputId, customFieldInputName) — no full DB representation. Designed for * AI agents that need lean context before acting; planned for future MCP-tool wrapping * so the response shape stays trivial to transform.

get/record/vector/context

Request

  • Base URL: https://test.boost.space/api
  • URL: https://test.boost.space/api/record/vector/context
  • Auth: HTTP bearer

Query parameters

space_idinteger required
Example:123

Tenant scope. Custom module derived from space.custom_module_id.

querystring required
limitinteger
filterstring

Filter expression. Mutually exclusive with segment_id.

segment_idinteger

Saved segment whose filter to apply. When present, the response includes fromSegment with the segment name.

Response

Compact records.

contextobject[]
retrievedinteger
fromSegmentstring

Segment name; only present when segment_id was provided.

Example response

{
  "retrieved": 10,
  "fromSegment": "Enterprise Deals Q2"
}

Changes

No recorded changes to this operation across all 1 revision of this API.