@n8n/n8n-nodes-langchain
Version:

121 lines • 3.99 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 RetrieverMultiQuery_node_exports = {};
__export(RetrieverMultiQuery_node_exports, {
RetrieverMultiQuery: () => RetrieverMultiQuery
});
module.exports = __toCommonJS(RetrieverMultiQuery_node_exports);
var import_multi_query = require("@langchain/classic/retrievers/multi_query");
var import_n8n_workflow = require("n8n-workflow");
var import_logWrapper = require("../../../utils/logWrapper");
class RetrieverMultiQuery {
constructor() {
this.description = {
displayName: "MultiQuery Retriever",
name: "retrieverMultiQuery",
icon: "fa:box-open",
iconColor: "black",
group: ["transform"],
version: 1,
description: "Automates prompt tuning, generates diverse queries and expands document pool for enhanced retrieval.",
defaults: {
name: "MultiQuery Retriever"
},
codex: {
categories: ["AI"],
subcategories: {
AI: ["Retrievers"]
},
resources: {
primaryDocumentation: [
{
url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.retrievermultiquery/"
}
]
}
},
inputs: [
{
displayName: "Model",
maxConnections: 1,
type: import_n8n_workflow.NodeConnectionTypes.AiLanguageModel,
required: true
},
{
displayName: "Retriever",
maxConnections: 1,
type: import_n8n_workflow.NodeConnectionTypes.AiRetriever,
required: true
}
],
outputs: [
{
displayName: "Retriever",
maxConnections: 1,
type: import_n8n_workflow.NodeConnectionTypes.AiRetriever
}
],
properties: [
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
description: "Additional options to add",
type: "collection",
default: {},
options: [
{
displayName: "Query Count",
name: "queryCount",
default: 3,
typeOptions: { minValue: 1 },
description: "Number of different versions of the given question to generate",
type: "number"
}
]
}
]
};
}
async supplyData(itemIndex) {
this.logger.debug("Supplying data for MultiQuery Retriever");
const options = this.getNodeParameter("options", itemIndex, {});
const model = await this.getInputConnectionData(
import_n8n_workflow.NodeConnectionTypes.AiLanguageModel,
itemIndex
);
const baseRetriever = await this.getInputConnectionData(
import_n8n_workflow.NodeConnectionTypes.AiRetriever,
itemIndex
);
const retriever = import_multi_query.MultiQueryRetriever.fromLLM({
llm: model,
retriever: baseRetriever,
...options
});
return {
response: (0, import_logWrapper.logWrapper)(retriever, this)
};
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
RetrieverMultiQuery
});
//# sourceMappingURL=RetrieverMultiQuery.node.js.map