--- updatedAt: 2026-08-06T09:59:42.000Z --- # Creates an embedding vector from the input text. # OpenAPI definition ```json { "openapi": "3.1.0", "info": { "title": "NVIDIA NIM API for snowflake/arctic-embed-l", "description": "The NVIDIA NIM REST API. Please see https://docs.api.nvidia.com/nim for more details.", "version": "1.0.0", "termsOfService": "https://nvidia.com/legal/terms-of-use", "contact": { "name": "NVIDIA Support", "url": "https://help.nvidia.com/" }, "license": { "name": "Apache 2.0", "url": "https://choosealicense.com/licenses/apache-2.0/" } }, "servers": [ { "url": "https://ai.api.nvidia.com/v1" } ], "paths": { "/retrieval/snowflake/arctic-embed-l/embeddings": { "post": { "summary": "Creates an embedding vector from the input text.", "operationId": "invokeFunction", "requestBody": { "content": { "application/json": { "schema": { "$ref": "#/components/schemas/EmbeddingsRequest" } } }, "required": true }, "responses": { "200": { "description": "Invocation is fulfilled", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/EmbeddingsResponse" } } } }, "202": { "description": "Result is pending. Client should poll using the requestId.\n", "content": { "application/json": { "example": {}, "schema": {} } }, "headers": { "NVCF-REQID": { "description": "requestId required for pooling", "schema": { "type": "string", "format": "uuid", "maxLength": 36 } }, "NVCF-STATUS": { "description": "Invocation status", "schema": { "type": "string", "format": "^[a-zA-Z-]{1,64}$", "maxLength": 64 } } } }, "422": { "description": "Validation failed, provided entity could not be processed.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/Errors" }, "example": { "type": "urn:nvcf-worker-service:problem-details:unprocessable-entity", "title": "Unprocessable Entity", "status": 422, "detail": "string", "instance": "/v2/nvcf/pexec/functions/TBD", "requestId": "3fa85f64-5717-4562-b3fc-2c963f66afa6" } } } }, "500": { "description": "The invocation ended with an error.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/Errors" }, "example": { "type": "urn:nvcf-worker-service:problem-details:internal-server-error", "title": "Internal Server Error", "status": 500, "detail": "string", "instance": "/v2/nvcf/pexec/functions/TBD", "requestId": "3fa85f64-5717-4562-b3fc-2c963f66afa6" } } } } }, "x-nvai-meta": { "name": "Create Text Embedding", "description": "Generates an embedding vector from the provided text\nusing a specified model. The embedding can be returned\nin either float array or base64-encoded format.\n", "path": "create", "examples": [ { "name": "Embedding vector for text input", "requestJson": "{\n \"input\": \"What is the capital of France?\",\n \"model\": \"snowflake/arctic-embed-l\",\n \"input_type\": \"query\",\n \"encoding_format\": \"float\",\n \"truncate\": \"NONE\"\n}\n", "responseJson": "{\n \"object\": \"list\",\n \"data\": [\n {\n \"object\": \"embedding\",\n \"embedding\": [0.72, 0.97, 0.118, 0.101, 0.32, 0.102, 0.117, 0.110, 0.32, 0.101, 0.120, 0.112, 0.101, 0.114, 0.105, 0.101, 0.110, 0.99, 0.105, 0.110, 0.103, 0.32, 0.116, 0.104, 0.101, 0.32, 0.112, 0.111, 0.119, 0.101, 0.114, 0.32, 0.111, 0.102, 0.32, 0.116, 0.104, 0.101, 0.32, 0.78, 0.73, 0.77, 0.115, 0.44, 0.32, 0.102, 0.111, 0.114, 0.32, 0.121, 0.111, 0.117, 0.114, 0.32, 0.76, 0.76, 0.77, 0.32, 0.82, 0.65, 0.71, 0.32, 0.97, 0.112, 0.112, 0.108, 0.105, 0.99, 0.97, 0.116, 0.105, 0.111, 0.110, 0.44, 0.32, 0.97, 0.103, 0.101, 0.110, 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0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33],\n \"index\": 0\n }\n ],\n \"model\": \"snowflake/arctic-embed-l\",\n \"usage\": {\n \"prompt_tokens\": 6,\n \"total_tokens\": 6\n }\n}\n" } ], "templates": [ { "title": "Synchronous requests", "requestEjs": { "curl": "curl -X POST https://ai.api.nvidia.com/v1/retrieval/snowflake/arctic-embed-l/embeddings \\\n -H \"Content-Type: application/json\" \\\n -H \"Authorization: Bearer $NVIDIA_API_KEY\" \\\n -d '{\n \"input\": [\"<%- request.input.replaceAll('\"', '\\\\\"').replaceAll(\"'\", \"'\\\"'\\\"'\") %>\"],\n \"model\": \"snowflake/arctic-embed-l\",\n \"input_type\": \"<%- request.input_type %>\",\n \"encoding_format\": \"<%- request.encoding_format %>\",\n \"truncate\": \"<%- request.truncate ?? 'NONE' %>\"\n }'\n", "python": "from openai import OpenAI\n\nclient = OpenAI(\n api_key=\"$NVIDIA_API_KEY\",\n base_url=\"https://ai.api.nvidia.com/v1/retrieval/snowflake/arctic-embed-l\"\n)\n\nresponse = client.embeddings.create(\n input=[<%- JSON.stringify(request.input) %>],\n model=\"snowflake/arctic-embed-l\",\n encoding_format=\"<%- request.encoding_format %>\",\n extra_body={\"input_type\": \"<%- request.input_type %>\", \"truncate\": \"<%- request.truncate ?? 'NONE' %>\"}\n)\n\nprint(response.data[0].embedding)\n" }, "response": "{\n \"object\": \"list\",\n \"data\": [\n {\n \"object\": \"embedding\",\n \"embedding\": [0.72, 0.97, 0.118, 0.101, 0.32, 0.102, 0.117, 0.110, 0.32, 0.101, 0.120, 0.112, 0.101, 0.114, 0.105, 0.101, 0.110, 0.99, 0.105, 0.110, 0.103, 0.32, 0.116, 0.104, 0.101, 0.32, 0.112, 0.111, 0.119, 0.101, 0.114, 0.32, 0.111, 0.102, 0.32, 0.116, 0.104, 0.101, 0.32, 0.78, 0.73, 0.77, 0.115, 0.44, 0.32, 0.102, 0.111, 0.114, 0.32, 0.121, 0.111, 0.117, 0.114, 0.32, 0.76, 0.76, 0.77, 0.32, 0.82, 0.65, 0.71, 0.32, 0.97, 0.112, 0.112, 0.108, 0.105, 0.99, 0.97, 0.116, 0.105, 0.111, 0.110, 0.44, 0.32, 0.97, 0.103, 0.101, 0.110, 0.116, 0.115, 0.32, 0.97, 0.110, 0.100, 0.32, 0.109, 0.111, 0.114, 0.101, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.33, 0.72, 0.97, 0.118, 0.101, 0.32, 0.102, 0.117, 0.110, 0.32, 0.101, 0.120, 0.112, 0.101, 0.114, 0.105, 0.101, 0.110, 0.99, 0.105, 0.110, 0.103, 0.32, 0.116, 0.104, 0.101, 0.32, 0.112, 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