{
"operation-name" : "add",
"description" : "This operation adds an embedding store content retriever.",
"request-properties" : {
"embedding-model" : {
"type" : {
"TYPE_MODEL_VALUE" : "STRING"
},
"description" : "Embedding model used to compute embeddings.",
"expressions-allowed" : true,
"required" : true,
"nillable" : false,
"capability-reference" : "org.wildfly.ai.embedding.model",
"min-length" : 1,
"max-length" : 2147483647,
"stability" : "default"
},
"embedding-store" : {
"type" : {
"TYPE_MODEL_VALUE" : "STRING"
},
"description" : "Store were the contents and embeddings are retrieved from.",
"expressions-allowed" : true,
"required" : true,
"nillable" : false,
"capability-reference" : "org.wildfly.ai.embedding.store",
"min-length" : 1,
"max-length" : 2147483647,
"stability" : "default"
},
"max-results" : {
"type" : {
"TYPE_MODEL_VALUE" : "INT"
},
"description" : "The maximum number of contents to retrieve.",
"expressions-allowed" : true,
"required" : false,
"nillable" : true,
"stability" : "default"
},
"min-score" : {
"type" : {
"TYPE_MODEL_VALUE" : "DOUBLE"
},
"description" : "The minimum relevance score for the returned contents.Contents scoring below this score are excluded from the results.",
"expressions-allowed" : true,
"required" : false,
"nillable" : true,
"stability" : "default"
}
},
"reply-properties" : {},
"stability" : "default",
"read-only" : false,
"runtime-only" : false
}