Create a new vector store for a project.
This endpoint creates a vector store using the specified engine and configuration. Currently supports SGP Knowledge Base engine, but we plan to support more engines in the future.
Authentication:
Returns:
Example Request:
{
"engine": "sgp_knowledge_base",
"name": "My Knowledge Base",
"embedding_model": "openai/text-embedding-3-large",
}
Example Response:
{
"id": "vs_123456789",
"project_id": "proj_987654321",
"name": "My Knowledge Base",
"engine": "sgp_knowledge_base",
"created_at": "2024-01-15T10:30:00Z"
}
API key for authentication
Selected Account ID
Base embedding configuration using standard models.
Name of the vector store
Embedding model to use for 'base' type. e.g. openai/text-embedding-3-large
"sgp_knowledge_base"Type of embedding configuration for standard models
"base"Vector store created successfully