curl --request POST \
--url https://api.trieve.ai/api/organization/update_dataset_configs \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--header 'TR-Organization: <tr-organization>' \
--data '{
"organization_id": "00000000-0000-0000-0000-000000000000",
"server_configuration": {
"AIMON_RERANKER_TASK_DEFINITION": "Your task is to grade the relevance of context document(s) against the specified user query.",
"BM25_AVG_LEN": 256,
"BM25_B": 0.75,
"BM25_ENABLED": true,
"BM25_K": 0.75,
"EMBEDDING_BASE_URL": "https://api.openai.com/v1",
"EMBEDDING_MODEL_NAME": "text-embedding-3-small",
"EMBEDDING_QUERY_PREFIX": "",
"EMBEDDING_SIZE": 1536,
"FREQUENCY_PENALTY": 0,
"FULLTEXT_ENABLED": true,
"INDEXED_ONLY": false,
"LLM_BASE_URL": "https://api.openai.com/v1",
"LLM_DEFAULT_MODEL": "gpt-3.5-turbo-1106",
"LOCKED": false,
"MAX_LIMIT": 10000,
"MESSAGE_TO_QUERY_PROMPT": "Write a 1-2 sentence semantic search query along the lines of a hypothetical response to: \n\n",
"N_RETRIEVALS_TO_INCLUDE": 8,
"PRESENCE_PENALTY": 0,
"QDRANT_ONLY": false,
"RAG_PROMPT": "Use the following retrieved documents to respond briefly and accurately:",
"SEMANTIC_ENABLED": true,
"STOP_TOKENS": [
"\n\n",
"\n"
],
"SYSTEM_PROMPT": "You are a helpful assistant",
"TEMPERATURE": 0.5,
"USE_MESSAGE_TO_QUERY_PROMPT": false
}
}'