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POST
/
api
/
v2
/
memories
/
semantic
/
set
/
configure
Configure Semantic Set
curl --request POST \
  --url http://localhost:8080/api/v2/memories/semantic/set/configure \
  --header 'Content-Type: application/json' \
  --data '
{
  "set_id": "<string>",
  "org_id": "universal",
  "project_id": "universal",
  "embedder_name": "<string>",
  "llm_name": "<string>"
}
'
{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Documentation Index

Fetch the complete documentation index at: https://docs.memmachine.ai/llms.txt

Use this file to discover all available pages before exploring further.

Body

application/json

Specification model for configuring a semantic set.

​
set_id
string
required

Identifier of the semantic set.

​
org_id
string
default:universal
The unique identifier of the organization.

- Must not contain slashes (`/`).
- Must contain only letters, numbers, underscores, hyphens, colon, and Unicode
  characters (e.g., Chinese/Japanese/Korean). No slashes or other symbols
  are allowed.

This value determines the namespace the project belongs to.
Examples:

"MemVerge"

"AI_Labs"

​
project_id
string
default:universal
The identifier of the project.

- Must be unique within the organization.
- Must not contain slashes (`/`).
- Must contain only letters, numbers, underscores, hyphens, colon, and Unicode
  characters (e.g., Chinese/Japanese/Korean). No slashes or other symbols
  are allowed.

This ID is used in API paths and resource locations.
Examples:

"memmachine"

"research123"

"qa_pipeline"

​
embedder_name
string | null
Optional embedder name override for this semantic set. If not specified,
the default embedder is used.
​
llm_name
string | null
Optional language model name override for this semantic set. If not
specified, the default language model is used.

Response

Successful Response