@n8n/n8n-nodes-langchain
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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 EmbeddingsLemonade_node_exports = {};
__export(EmbeddingsLemonade_node_exports, {
EmbeddingsLemonade: () => EmbeddingsLemonade
});
module.exports = __toCommonJS(EmbeddingsLemonade_node_exports);
var import_openai = require("@langchain/openai");
var import_n8n_workflow = require("n8n-workflow");
var import_logWrapper = require("../../../utils/logWrapper");
var import_sharedFields = require("../../../utils/sharedFields");
var import_description = require("../../llms/LMLemonade/description");
class EmbeddingsLemonade {
constructor() {
this.description = {
displayName: "Embeddings Lemonade",
name: "embeddingsLemonade",
icon: "file:lemonade.svg",
group: ["transform"],
version: 1,
description: "Use Lemonade Embeddings",
defaults: {
name: "Embeddings Lemonade"
},
...import_description.lemonadeDescription,
codex: {
categories: ["AI"],
subcategories: {
AI: ["Embeddings"]
},
resources: {
primaryDocumentation: [
{
url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingslemonade/"
}
]
}
},
inputs: [],
outputs: [import_n8n_workflow.NodeConnectionTypes.AiEmbedding],
outputNames: ["Embeddings"],
properties: [(0, import_sharedFields.getConnectionHintNoticeField)([import_n8n_workflow.NodeConnectionTypes.AiVectorStore]), import_description.lemonadeModel]
};
}
async supplyData(itemIndex) {
const modelName = this.getNodeParameter("model", itemIndex);
const credentials = await this.getCredentials("lemonadeApi");
const apiKey = credentials.apiKey || "lemonade-placeholder-key";
const configuration = {
baseURL: credentials.baseUrl
};
if (credentials.apiKey) {
configuration.defaultHeaders = {
Authorization: `Bearer ${credentials.apiKey}`
};
}
const embeddings = new import_openai.OpenAIEmbeddings({
apiKey,
model: modelName,
configuration
});
return {
response: (0, import_logWrapper.logWrapper)(embeddings, this)
};
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
EmbeddingsLemonade
});
//# sourceMappingURL=EmbeddingsLemonade.node.js.map