@n8n/n8n-nodes-langchain
Version:
170 lines • 5.52 kB
JavaScript
;
var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __hasOwnProp = Object.prototype.hasOwnProperty;
var __export = (target, all) => {
for (var name in all)
__defProp(target, name, { get: all[name], enumerable: true });
};
var __copyProps = (to, from, except, desc) => {
if (from && typeof from === "object" || typeof from === "function") {
for (let key of __getOwnPropNames(from))
if (!__hasOwnProp.call(to, key) && key !== except)
__defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
}
return to;
};
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
var EmbeddingsMistralCloud_node_exports = {};
__export(EmbeddingsMistralCloud_node_exports, {
EmbeddingsMistralCloud: () => EmbeddingsMistralCloud
});
module.exports = __toCommonJS(EmbeddingsMistralCloud_node_exports);
var import_mistralai = require("@langchain/mistralai");
var import_n8n_workflow = require("n8n-workflow");
var import_logWrapper = require("../../../utils/logWrapper");
var import_sharedFields = require("../../../utils/sharedFields");
class EmbeddingsMistralCloud {
constructor() {
this.description = {
displayName: "Embeddings Mistral Cloud",
name: "embeddingsMistralCloud",
icon: "file:mistral.svg",
credentials: [
{
name: "mistralCloudApi",
required: true
}
],
group: ["transform"],
version: 1,
description: "Use Embeddings Mistral Cloud",
defaults: {
name: "Embeddings Mistral Cloud"
},
codex: {
categories: ["AI"],
subcategories: {
AI: ["Embeddings"]
},
resources: {
primaryDocumentation: [
{
url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsmistralcloud/"
}
]
}
},
inputs: [],
outputs: [import_n8n_workflow.NodeConnectionTypes.AiEmbedding],
outputNames: ["Embeddings"],
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: "https://api.mistral.ai/v1"
},
properties: [
(0, import_sharedFields.getConnectionHintNoticeField)([import_n8n_workflow.NodeConnectionTypes.AiVectorStore]),
{
displayName: "Model",
name: "model",
type: "options",
description: 'The model which will compute the embeddings. <a href="https://docs.mistral.ai/platform/endpoints/">Learn more</a>.',
typeOptions: {
loadOptions: {
routing: {
request: {
method: "GET",
url: "/models"
},
output: {
postReceive: [
{
type: "rootProperty",
properties: {
property: "data"
}
},
{
type: "filter",
properties: {
pass: "={{ $responseItem.id.includes('embed') }}"
}
},
{
type: "setKeyValue",
properties: {
name: "={{ $responseItem.id }}",
value: "={{ $responseItem.id }}"
}
},
{
type: "sort",
properties: {
key: "name"
}
}
]
}
}
}
},
routing: {
send: {
type: "body",
property: "model"
}
},
default: "mistral-embed"
},
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
description: "Additional options to add",
type: "collection",
default: {},
options: [
{
displayName: "Batch Size",
name: "batchSize",
default: 512,
typeOptions: { maxValue: 2048 },
description: "Maximum number of documents to send in each request",
type: "number"
},
{
displayName: "Strip New Lines",
name: "stripNewLines",
default: true,
description: "Whether to strip new lines from the input text",
type: "boolean"
}
]
}
]
};
}
async supplyData(itemIndex) {
const credentials = await this.getCredentials("mistralCloudApi");
const modelName = this.getNodeParameter("model", itemIndex);
const options = this.getNodeParameter(
"options",
itemIndex,
{}
);
const embeddings = new import_mistralai.MistralAIEmbeddings({
apiKey: credentials.apiKey,
model: modelName,
...options
});
return {
response: (0, import_logWrapper.logWrapper)(embeddings, this)
};
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
EmbeddingsMistralCloud
});
//# sourceMappingURL=EmbeddingsMistralCloud.node.js.map