implemented serpapi loader integration and added its corresponding template
This commit is contained in:
Hamzah Abdulfattah
parent
260b13bb99
commit
3b0c5b0c0d
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface';
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import { TextSplitter } from 'langchain/text_splitter';
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import { SerpAPILoader } from 'langchain/document_loaders/web/serpapi';import { getCredentialData, getCredentialParam } from '../../../src';
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class SerpAPI_DocumentLoaders implements INode {
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label: string;
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name: string;
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version: number;
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description: string;
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type: string;
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icon: string;
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category: string;
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baseClasses: string[];
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credential: INodeParams;
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inputs: INodeParams[];
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constructor() {
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this.label = 'SerpApi For Web Search';
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this.name = 'serpApi';
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this.version = 1.0;
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this.type = 'Document';
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this.icon = 'serp.png';
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this.category = 'Document Loaders';
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this.description = 'Load and process data from web search results';
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this.baseClasses = [this.type];
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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optional: false,
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credentialNames: ['serpApi']
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};
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this.inputs = [
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{
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label: 'Query',
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name: 'query',
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type: 'string'
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},
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{
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label: 'Text Splitter',
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name: 'textSplitter',
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type: 'TextSplitter',
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optional: true
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},
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{
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label: 'Metadata',
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name: 'metadata',
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type: 'json',
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optional: true,
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additionalParams: true
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}
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];
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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const textSplitter = nodeData.inputs?.textSplitter as TextSplitter;
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const query = nodeData.inputs?.query as string;
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const metadata = nodeData.inputs?.metadata;
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const credentialData = await getCredentialData(nodeData.credential ?? '', options);
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const serpApiKey = getCredentialParam('serpApiKey', credentialData, nodeData);
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const loader = new SerpAPILoader({ q: query, apiKey: serpApiKey });
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const docs = textSplitter ? await loader.loadAndSplit() : await loader.load();
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if (metadata) {
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const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata);
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return docs.map((doc) => {
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return {
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...doc,
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metadata: {
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...doc.metadata,
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...parsedMetadata
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}
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};
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});
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}
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return docs;
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}
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}
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module.exports = { nodeClass: SerpAPI_DocumentLoaders };
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{
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"nodes": [
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{
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"width": 300,
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"height": 525,
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"id": "chatOpenAI_0",
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"position": {
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"x": 858.6611234371157,
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"y": 40.225188014879166
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},
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"type": "customNode",
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"data": {
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"id": "chatOpenAI_0",
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"label": "ChatOpenAI",
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"version": 1,
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"name": "chatOpenAI",
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"type": "ChatOpenAI",
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"baseClasses": [
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"ChatOpenAI",
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"BaseChatModel",
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"BaseLanguageModel",
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"Runnable"
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],
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"category": "Chat Models",
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"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": [
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"openAIApi"
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],
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"id": "chatOpenAI_0-input-credential-credential"
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},
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{
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"label": "Model Name",
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"name": "modelName",
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"type": "options",
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"options": [
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{
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"label": "gpt-4",
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"name": "gpt-4"
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},
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{
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"label": "gpt-4-0613",
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"name": "gpt-4-0613"
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},
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{
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"label": "gpt-4-32k",
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"name": "gpt-4-32k"
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},
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{
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"label": "gpt-4-32k-0613",
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"name": "gpt-4-32k-0613"
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},
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{
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0613",
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"name": "gpt-3.5-turbo-0613"
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},
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{
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"label": "gpt-3.5-turbo-16k",
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"name": "gpt-3.5-turbo-16k"
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},
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{
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"label": "gpt-3.5-turbo-16k-0613",
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"name": "gpt-3.5-turbo-16k-0613"
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}
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],
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"default": "gpt-3.5-turbo",
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"optional": true,
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"id": "chatOpenAI_0-input-modelName-options"
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},
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{
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"label": "Temperature",
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"name": "temperature",
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"type": "number",
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"step": 0.1,
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"default": 0.9,
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"optional": true,
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"id": "chatOpenAI_0-input-temperature-number"
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},
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{
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"label": "Max Tokens",
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"name": "maxTokens",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-maxTokens-number"
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},
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{
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"label": "Top Probability",
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"name": "topP",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-topP-number"
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},
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{
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"label": "Frequency Penalty",
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"name": "frequencyPenalty",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-frequencyPenalty-number"
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},
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{
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"label": "Presence Penalty",
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"name": "presencePenalty",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-presencePenalty-number"
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},
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{
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"label": "Timeout",
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"name": "timeout",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-timeout-number"
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},
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{
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"label": "BasePath",
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"name": "basepath",
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"type": "string",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-basepath-string"
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},
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{
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"label": "BaseOptions",
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"name": "baseOptions",
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"type": "json",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-baseOptions-json"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"modelName": "gpt-4",
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"temperature": 0.9,
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"maxTokens": "",
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"topP": "",
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"frequencyPenalty": "",
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"presencePenalty": "",
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"timeout": "",
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"basepath": "",
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"baseOptions": ""
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},
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"outputAnchors": [
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{
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"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
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"name": "chatOpenAI",
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"label": "ChatOpenAI",
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"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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"positionAbsolute": {
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"x": 858.6611234371157,
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"y": 40.225188014879166
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},
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"dragging": false
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},
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{
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"width": 300,
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"height": 481,
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"id": "conversationalRetrievalQAChain_0",
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"position": {
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"x": 1584.2201037703737,
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"y": 207.80548502487522
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},
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"type": "customNode",
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"data": {
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"id": "conversationalRetrievalQAChain_0",
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"label": "Conversational Retrieval QA Chain",
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"version": 1,
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"name": "conversationalRetrievalQAChain",
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"type": "ConversationalRetrievalQAChain",
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"baseClasses": [
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"ConversationalRetrievalQAChain",
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"BaseChain",
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"Runnable"
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],
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"category": "Chains",
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"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
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"inputParams": [
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{
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"label": "Return Source Documents",
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"name": "returnSourceDocuments",
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"type": "boolean",
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"optional": true,
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"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
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},
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{
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"label": "System Message",
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"name": "systemMessagePrompt",
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"type": "string",
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"rows": 4,
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"additionalParams": true,
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"optional": true,
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"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
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"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
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},
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{
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"label": "Chain Option",
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"name": "chainOption",
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"type": "options",
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"options": [
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{
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"label": "MapReduceDocumentsChain",
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"name": "map_reduce",
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"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
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},
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{
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"label": "RefineDocumentsChain",
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"name": "refine",
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"description": "Suitable for QA tasks over a large number of documents."
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},
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{
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"label": "StuffDocumentsChain",
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"name": "stuff",
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"description": "Suitable for QA tasks over a small number of documents."
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}
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],
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"additionalParams": true,
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"optional": true,
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"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
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}
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],
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"inputAnchors": [
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{
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"label": "Language Model",
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"name": "model",
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"type": "BaseLanguageModel",
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"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
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},
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{
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"label": "Vector Store Retriever",
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"name": "vectorStoreRetriever",
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"type": "BaseRetriever",
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"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
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},
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{
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"label": "Memory",
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"name": "memory",
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"type": "BaseMemory",
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"optional": true,
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"description": "If left empty, a default BufferMemory will be used",
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"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
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}
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],
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"inputs": {
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"model": "{{chatOpenAI_0.data.instance}}",
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"vectorStoreRetriever": "{{memoryVectorStore_0.data.instance}}",
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"memory": "",
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"returnSourceDocuments": true,
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"systemMessagePrompt": "",
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"chainOption": ""
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},
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"outputAnchors": [
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{
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"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
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"name": "conversationalRetrievalQAChain",
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"label": "ConversationalRetrievalQAChain",
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"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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"positionAbsolute": {
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"x": 1584.2201037703737,
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"y": 207.80548502487522
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},
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"dragging": false
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},
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{
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"width": 300,
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"height": 330,
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"id": "openAIEmbeddings_0",
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"position": {
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"x": 59.99572465636521,
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"y": 789.1458487580028
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},
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"type": "customNode",
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"data": {
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"id": "openAIEmbeddings_0",
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"label": "OpenAI Embeddings",
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"version": 1,
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"name": "openAIEmbeddings",
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"type": "OpenAIEmbeddings",
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"baseClasses": [
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"OpenAIEmbeddings",
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"Embeddings"
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],
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"category": "Embeddings",
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"description": "OpenAI API to generate embeddings for a given text",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": [
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"openAIApi"
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],
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"id": "openAIEmbeddings_0-input-credential-credential"
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},
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{
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"label": "Strip New Lines",
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"name": "stripNewLines",
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"type": "boolean",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
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},
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{
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"label": "Batch Size",
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"name": "batchSize",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-batchSize-number"
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},
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{
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||||
"label": "Timeout",
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||||
"name": "timeout",
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||||
"type": "number",
|
||||
"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_0-input-timeout-number"
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},
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{
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||||
"label": "BasePath",
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"name": "basepath",
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||||
"type": "string",
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"optional": true,
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||||
"additionalParams": true,
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||||
"id": "openAIEmbeddings_0-input-basepath-string"
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||||
}
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||||
],
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||||
"inputAnchors": [],
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||||
"inputs": {
|
||||
"stripNewLines": "",
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||||
"batchSize": "",
|
||||
"timeout": "",
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||||
"basepath": ""
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||||
},
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"outputAnchors": [
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{
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||||
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
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"name": "openAIEmbeddings",
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"label": "OpenAIEmbeddings",
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"type": "OpenAIEmbeddings | Embeddings"
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||||
}
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||||
],
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||||
"outputs": {},
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||||
"selected": false
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||||
},
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||||
"selected": false,
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||||
"positionAbsolute": {
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||||
"x": 59.99572465636521,
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"y": 789.1458487580028
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},
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"dragging": false
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||||
},
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{
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"width": 300,
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"height": 407,
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"id": "memoryVectorStore_0",
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"position": {
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||||
"x": 804.8405953555847,
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"y": 780.514305397237
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},
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"type": "customNode",
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"data": {
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"id": "memoryVectorStore_0",
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"label": "In-Memory Vector Store",
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"version": 1,
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"name": "memoryVectorStore",
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"type": "Memory",
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"baseClasses": [
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"Memory",
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"VectorStoreRetriever",
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"BaseRetriever"
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],
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"category": "Vector Stores",
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"description": "In-memory vectorstore that stores embeddings and does an exact, linear search for the most similar embeddings.",
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"inputParams": [
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{
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"label": "Top K",
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"name": "topK",
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"description": "Number of top results to fetch. Default to 4",
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"placeholder": "4",
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"type": "number",
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"optional": true,
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"id": "memoryVectorStore_0-input-topK-number"
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}
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||||
],
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"inputAnchors": [
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{
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"label": "Document",
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"name": "document",
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"type": "Document",
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||||
"list": true,
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"id": "memoryVectorStore_0-input-document-Document"
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},
|
||||
{
|
||||
"label": "Embeddings",
|
||||
"name": "embeddings",
|
||||
"type": "Embeddings",
|
||||
"id": "memoryVectorStore_0-input-embeddings-Embeddings"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": [
|
||||
"{{serpApi_2.data.instance}}"
|
||||
],
|
||||
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
|
||||
"topK": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Memory Retriever",
|
||||
"type": "Memory | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "memoryVectorStore_0-output-vectorStore-Memory|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Memory Vector Store",
|
||||
"type": "Memory | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "retriever"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 804.8405953555847,
|
||||
"y": 780.514305397237
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 480,
|
||||
"id": "serpApi_2",
|
||||
"position": {
|
||||
"x": 199.84883781665212,
|
||||
"y": 113.02413239018131
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "serpApi_2",
|
||||
"label": "SerpApi For Web Search",
|
||||
"version": 1,
|
||||
"name": "serpApi",
|
||||
"type": "Document",
|
||||
"baseClasses": [
|
||||
"Document"
|
||||
],
|
||||
"category": "Document Loaders",
|
||||
"description": "Load and process data from web search results",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"optional": false,
|
||||
"credentialNames": [
|
||||
"serpApi"
|
||||
],
|
||||
"id": "serpApi_2-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Query",
|
||||
"name": "query",
|
||||
"type": "string",
|
||||
"id": "serpApi_2-input-query-string"
|
||||
},
|
||||
{
|
||||
"label": "Metadata",
|
||||
"name": "metadata",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "serpApi_2-input-metadata-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Text Splitter",
|
||||
"name": "textSplitter",
|
||||
"type": "TextSplitter",
|
||||
"optional": true,
|
||||
"id": "serpApi_2-input-textSplitter-TextSplitter"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"query": "Coffee",
|
||||
"textSplitter": "",
|
||||
"metadata": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "serpApi_2-output-serpApi-Document",
|
||||
"name": "serpApi",
|
||||
"label": "Document",
|
||||
"type": "Document"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 199.84883781665212,
|
||||
"y": 113.02413239018131
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "openAIEmbeddings_0",
|
||||
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
||||
"target": "memoryVectorStore_0",
|
||||
"targetHandle": "memoryVectorStore_0-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-memoryVectorStore_0-memoryVectorStore_0-input-embeddings-Embeddings",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "memoryVectorStore_0",
|
||||
"sourceHandle": "memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "memoryVectorStore_0-memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "serpApi_2",
|
||||
"sourceHandle": "serpApi_2-output-serpApi-Document",
|
||||
"target": "memoryVectorStore_0",
|
||||
"targetHandle": "memoryVectorStore_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "serpApi_2-serpApi_2-output-serpApi-Document-memoryVectorStore_0-memoryVectorStore_0-input-document-Document",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
Loading…
Reference in New Issue