@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 EmbeddingsCohere_node_exports = {};
__export(EmbeddingsCohere_node_exports, {
EmbeddingsCohere: () => EmbeddingsCohere
});
module.exports = __toCommonJS(EmbeddingsCohere_node_exports);
var import_cohere = require("@langchain/cohere");
var import_n8n_workflow = require("n8n-workflow");
var import_logWrapper = require("../../../utils/logWrapper");
var import_sharedFields = require("../../../utils/sharedFields");
class EmbeddingsCohere {
constructor() {
this.description = {
displayName: "Embeddings Cohere",
name: "embeddingsCohere",
icon: { light: "file:cohere.svg", dark: "file:cohere.dark.svg" },
group: ["transform"],
version: 1,
description: "Use Cohere Embeddings",
defaults: {
name: "Embeddings Cohere"
},
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: "={{ $credentials.host }}"
},
credentials: [
{
name: "cohereApi",
required: true
}
],
codex: {
categories: ["AI"],
subcategories: {
AI: ["Embeddings"]
},
resources: {
primaryDocumentation: [
{
url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingscohere/"
}
]
}
},
inputs: [],
outputs: [import_n8n_workflow.NodeConnectionTypes.AiEmbedding],
outputNames: ["Embeddings"],
properties: [
(0, import_sharedFields.getConnectionHintNoticeField)([import_n8n_workflow.NodeConnectionTypes.AiVectorStore]),
{
displayName: "Each model is using different dimensional density for embeddings. Please make sure to use the same dimensionality for your vector store. The default model is using 768-dimensional embeddings.",
name: "notice",
type: "notice",
default: ""
},
{
displayName: "Model",
name: "modelName",
type: "options",
description: 'The model which will generate the embeddings. <a href="https://docs.cohere.com/docs/models">Learn more</a>.',
default: "embed-english-v2.0",
options: [
{
name: "Embed-English-Light-v2.0 (1024 Dimensions)",
value: "embed-english-light-v2.0"
},
{
name: "Embed-English-Light-v3.0 (384 Dimensions)",
value: "embed-english-light-v3.0"
},
{
name: "Embed-English-v2.0 (4096 Dimensions)",
value: "embed-english-v2.0"
},
{
name: "Embed-English-v3.0 (1024 Dimensions)",
value: "embed-english-v3.0"
},
{
name: "Embed-Multilingual-Light-v3.0 (384 Dimensions)",
value: "embed-multilingual-light-v3.0"
},
{
name: "Embed-Multilingual-v2.0 (768 Dimensions)",
value: "embed-multilingual-v2.0"
},
{
name: "Embed-Multilingual-v3.0 (1024 Dimensions)",
value: "embed-multilingual-v3.0"
}
]
}
]
};
}
async supplyData(itemIndex) {
this.logger.debug("Supply data for embeddings Cohere");
const modelName = this.getNodeParameter("modelName", itemIndex, "embed-english-v2.0");
const credentials = await this.getCredentials("cohereApi");
const embeddings = new import_cohere.CohereEmbeddings({
apiKey: credentials.apiKey,
model: modelName
});
return {
response: (0, import_logWrapper.logWrapper)(embeddings, this)
};
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
EmbeddingsCohere
});
//# sourceMappingURL=EmbeddingsCohere.node.js.map