[
{
"feature_extractor_name": "<string>",
"version": "<string>",
"feature_extractor_id": "<string>",
"description": "<string>",
"icon": "<string>",
"input_schema": {},
"output_schema": {},
"parameter_schema": {},
"supported_input_types": [
"<string>"
],
"max_inputs": {},
"default_parameters": {},
"required_vector_indexes": [
{
"name": "<string>",
"description": "<string>",
"type": "single",
"index": {
"datatype": "float32",
"description": "Dense vector embedding for text content using E5-Large multilingual model. Optimized for semantic search across 100+ languages.",
"dimensions": 1024,
"distance": "cosine",
"inference_name": "multilingual_e5_large_instruct_v1",
"name": "text_extractor_v1_embedding",
"supported_inputs": [
"text",
"string"
],
"type": "dense"
},
"feature_uri": "mixpeek://text_extractor@v1/embedding"
}
],
"required_payload_indexes": [
{
"field_name": "<string>",
"type": "keyword",
"field_schema": {
"type": "text",
"tokenizer": "word",
"min_token_len": 2,
"max_token_len": 15,
"lowercase": true
},
"is_protected": false
}
],
"costs": {
"tier": 2,
"tier_label": "<string>",
"rates": [
{
"unit": "minute",
"credits_per_unit": 2,
"description": "<string>"
}
]
}
}
]