mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 09:01:06 +03:00
Merge pull request #12 from 3eif/sentence-config
Update sentence config
This commit is contained in:
Seif
@@ -5,6 +5,9 @@ import { DataSource } from 'typeorm'
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import { SqlDatabase } from 'langchain/sql_db'
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import { SqlDatabase } from 'langchain/sql_db'
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import { BaseLanguageModel } from 'langchain/base_language'
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import { BaseLanguageModel } from 'langchain/base_language'
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import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
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import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
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import { DataSourceOptions } from 'typeorm/data-source'
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type DatabaseType = 'sqlite' | 'postgres' | 'mssql' | 'mysql'
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class SqlDatabaseChain_Chains implements INode {
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class SqlDatabaseChain_Chains implements INode {
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label: string
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label: string
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@@ -38,36 +41,48 @@ class SqlDatabaseChain_Chains implements INode {
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type: 'options',
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type: 'options',
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options: [
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options: [
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{
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{
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label: 'SQlite',
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label: 'SQLite',
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name: 'sqlite'
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name: 'sqlite'
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},
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{
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label: 'PostgreSQL',
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name: 'postgres'
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},
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{
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label: 'MSSQL',
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name: 'mssql'
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},
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{
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label: 'MySQL',
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name: 'mysql'
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}
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}
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],
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],
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default: 'sqlite'
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default: 'sqlite'
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},
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},
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{
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{
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label: 'Database File Path',
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label: 'Connection string or file path (sqlite only)',
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name: 'dbFilePath',
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name: 'url',
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type: 'string',
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type: 'string',
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placeholder: 'C:/Users/chinook.db'
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placeholder: '1270.0.0.1:5432/chinook'
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}
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}
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]
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]
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}
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}
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async init(nodeData: INodeData): Promise<any> {
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async init(nodeData: INodeData): Promise<any> {
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const databaseType = nodeData.inputs?.database as 'sqlite'
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const databaseType = nodeData.inputs?.database as DatabaseType
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const model = nodeData.inputs?.model as BaseLanguageModel
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const model = nodeData.inputs?.model as BaseLanguageModel
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const dbFilePath = nodeData.inputs?.dbFilePath
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const url = nodeData.inputs?.url
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const chain = await getSQLDBChain(databaseType, dbFilePath, model)
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const chain = await getSQLDBChain(databaseType, url, model)
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return chain
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return chain
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}
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}
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
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const databaseType = nodeData.inputs?.database as 'sqlite'
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const databaseType = nodeData.inputs?.database as DatabaseType
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const model = nodeData.inputs?.model as BaseLanguageModel
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const model = nodeData.inputs?.model as BaseLanguageModel
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const dbFilePath = nodeData.inputs?.dbFilePath
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const url = nodeData.inputs?.url
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const chain = await getSQLDBChain(databaseType, dbFilePath, model)
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const chain = await getSQLDBChain(databaseType, url, model)
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const loggerHandler = new ConsoleCallbackHandler(options.logger)
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const loggerHandler = new ConsoleCallbackHandler(options.logger)
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if (options.socketIO && options.socketIOClientId) {
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if (options.socketIO && options.socketIOClientId) {
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@@ -81,11 +96,18 @@ class SqlDatabaseChain_Chains implements INode {
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}
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}
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}
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}
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const getSQLDBChain = async (databaseType: 'sqlite', dbFilePath: string, llm: BaseLanguageModel) => {
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const getSQLDBChain = async (databaseType: DatabaseType, url: string, llm: BaseLanguageModel) => {
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const datasource = new DataSource({
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const datasource = new DataSource(
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type: databaseType,
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databaseType === 'sqlite'
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database: dbFilePath
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? {
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})
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type: databaseType,
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database: url
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}
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: ({
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type: databaseType,
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url: url
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} as DataSourceOptions)
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)
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const db = await SqlDatabase.fromDataSourceParams({
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const db = await SqlDatabase.fromDataSourceParams({
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appDataSource: datasource
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appDataSource: datasource
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@@ -61,7 +61,40 @@ class Folder_DocumentLoaders implements INode {
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'.csv': (path) => new CSVLoader(path),
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'.csv': (path) => new CSVLoader(path),
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'.docx': (path) => new DocxLoader(path),
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'.docx': (path) => new DocxLoader(path),
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// @ts-ignore
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// @ts-ignore
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'.pdf': (path) => new PDFLoader(path, { pdfjs: () => import('pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js') })
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'.pdf': (path) => new PDFLoader(path, { pdfjs: () => import('pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js') }),
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'.aspx': (path) => new TextLoader(path),
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'.asp': (path) => new TextLoader(path),
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'.cpp': (path) => new TextLoader(path), // C++
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'.c': (path) => new TextLoader(path),
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'.cs': (path) => new TextLoader(path),
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'.css': (path) => new TextLoader(path),
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'.go': (path) => new TextLoader(path), // Go
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'.h': (path) => new TextLoader(path), // C++ Header files
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'.java': (path) => new TextLoader(path), // Java
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'.js': (path) => new TextLoader(path), // JavaScript
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'.less': (path) => new TextLoader(path), // Less files
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'.ts': (path) => new TextLoader(path), // TypeScript
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'.php': (path) => new TextLoader(path), // PHP
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'.proto': (path) => new TextLoader(path), // Protocol Buffers
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'.python': (path) => new TextLoader(path), // Python
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'.py': (path) => new TextLoader(path), // Python
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'.rst': (path) => new TextLoader(path), // reStructuredText
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'.ruby': (path) => new TextLoader(path), // Ruby
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'.rb': (path) => new TextLoader(path), // Ruby
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'.rs': (path) => new TextLoader(path), // Rust
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'.scala': (path) => new TextLoader(path), // Scala
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'.sc': (path) => new TextLoader(path), // Scala
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'.scss': (path) => new TextLoader(path), // Sass
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'.sol': (path) => new TextLoader(path), // Solidity
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'.sql': (path) => new TextLoader(path), //SQL
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'.swift': (path) => new TextLoader(path), // Swift
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'.markdown': (path) => new TextLoader(path), // Markdown
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'.md': (path) => new TextLoader(path), // Markdown
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'.tex': (path) => new TextLoader(path), // LaTeX
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'.ltx': (path) => new TextLoader(path), // LaTeX
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'.html': (path) => new TextLoader(path), // HTML
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'.vb': (path) => new TextLoader(path), // Visual Basic
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'.xml': (path) => new TextLoader(path) // XML
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})
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})
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let docs = []
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let docs = []
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@@ -1,186 +1,11 @@
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{
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{
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"description": "A simple LLM chain that uses Vectara to enable conversations with uploaded documents",
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"description": "A simple LLM chain that uses Vectara to enable conversations with uploaded documents",
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"nodes": [
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"nodes": [
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{
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"width": 300,
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"height": 408,
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"id": "vectaraExisting_0",
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"position": { "x": 438, "y": 214 },
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"type": "customNode",
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"data": {
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"id": "vectaraExisting_0",
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"label": "Vectara Upsert Document",
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"version": 1,
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"name": "vectaraExisting",
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"type": "Vectara",
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"baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert documents to Vectara",
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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": ["vectaraApi"],
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"id": "vectaraExisting_0-input-credential-credential"
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},
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{
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"label": "Filter",
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"name": "filter",
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"type": "json",
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"additionalParams": true,
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"optional": true,
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"id": "vectaraExisting_0-input-filter-json"
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},
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{
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"label": "Lambda",
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"name": "lambda",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "vectaraExisting_0-input-lambda-number"
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},
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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. Defaults to 4",
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"placeholder": "4",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "vectaraExisting_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": "vectaraExisting_0-input-document-Document"
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}
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],
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"inputs": {
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"document": ["{{pdfFile_0.data.instance}}"],
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"filter": "",
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"lambda": "",
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"topK": ""
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},
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"outputAnchors": [
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{
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"name": "output",
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"label": "Output",
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"type": "options",
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"options": [
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{
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"id": "vectaraExisting_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
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"name": "retriever",
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"label": "Vectara Retriever",
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"type": "Vectara | VectorStoreRetriever | BaseRetriever"
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},
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{
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"id": "vectaraExisting_0-output-vectorStore-Vectara|VectorStore",
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"name": "vectorStore",
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"label": "Vectara Vector Store",
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"type": "Vectara | VectorStore"
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}
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],
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"default": "retriever"
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}
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],
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"outputs": { "output": "retriever" },
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"selected": false
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},
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"selected": false,
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"dragging": false,
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"positionAbsolute": { "x": 438, "y": 214 }
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},
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{
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"width": 300,
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"height": 509,
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"id": "pdfFile_0",
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"position": { "x": 68.3013317598369, "y": 199.60454731299677 },
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"type": "customNode",
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"data": {
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"id": "pdfFile_0",
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"label": "Pdf File",
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"version": 1,
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"name": "pdfFile",
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"type": "Document",
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"baseClasses": ["Document"],
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"category": "Document Loaders",
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"description": "Load data from PDF files",
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"inputParams": [
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{
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"label": "Pdf File",
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"name": "pdfFile",
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"type": "file",
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"fileType": ".pdf",
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"id": "pdfFile_0-input-pdfFile-file"
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},
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{
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"label": "Usage",
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"name": "usage",
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"type": "options",
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"options": [
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{ "label": "One document per page", "name": "perPage" },
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{ "label": "One document per file", "name": "perFile" }
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],
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"default": "perPage",
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"id": "pdfFile_0-input-usage-options"
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},
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{
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"label": "Use Legacy Build",
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"name": "legacyBuild",
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"type": "boolean",
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"optional": true,
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"additionalParams": true,
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"id": "pdfFile_0-input-legacyBuild-boolean"
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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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"id": "pdfFile_0-input-metadata-json"
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}
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],
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"inputAnchors": [
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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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"id": "pdfFile_0-input-textSplitter-TextSplitter"
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}
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],
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"inputs": {
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"textSplitter": "",
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"usage": "perPage",
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"legacyBuild": "",
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"metadata": ""
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},
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"outputAnchors": [
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|
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{
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|
||||||
"id": "pdfFile_0-output-pdfFile-Document",
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|
||||||
"name": "pdfFile",
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|
||||||
"label": "Document",
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|
||||||
"type": "Document"
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|
||||||
}
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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,
|
|
||||||
"positionAbsolute": { "x": 68.3013317598369, "y": 199.60454731299677 },
|
|
||||||
"dragging": false
|
|
||||||
},
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|
||||||
{
|
{
|
||||||
"width": 300,
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"width": 300,
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||||||
"height": 525,
|
"height": 525,
|
||||||
"id": "chatOpenAI_0",
|
"id": "chatOpenAI_0",
|
||||||
"position": { "x": 804.3889791707068, "y": 195.11620799951592 },
|
"position": { "x": 514.1088940275924, "y": 199.574479681537 },
|
||||||
"type": "customNode",
|
"type": "customNode",
|
||||||
"data": {
|
"data": {
|
||||||
"id": "chatOpenAI_0",
|
"id": "chatOpenAI_0",
|
||||||
@@ -211,10 +36,7 @@
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|||||||
{ "label": "gpt-3.5-turbo", "name": "gpt-3.5-turbo" },
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{ "label": "gpt-3.5-turbo", "name": "gpt-3.5-turbo" },
|
||||||
{ "label": "gpt-3.5-turbo-0613", "name": "gpt-3.5-turbo-0613" },
|
{ "label": "gpt-3.5-turbo-0613", "name": "gpt-3.5-turbo-0613" },
|
||||||
{ "label": "gpt-3.5-turbo-16k", "name": "gpt-3.5-turbo-16k" },
|
{ "label": "gpt-3.5-turbo-16k", "name": "gpt-3.5-turbo-16k" },
|
||||||
{
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{ "label": "gpt-3.5-turbo-16k-0613", "name": "gpt-3.5-turbo-16k-0613" }
|
||||||
"label": "gpt-3.5-turbo-16k-0613",
|
|
||||||
"name": "gpt-3.5-turbo-16k-0613"
|
|
||||||
}
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|
||||||
],
|
],
|
||||||
"default": "gpt-3.5-turbo",
|
"default": "gpt-3.5-turbo",
|
||||||
"optional": true,
|
"optional": true,
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||||||
@@ -286,7 +108,7 @@
|
|||||||
"inputAnchors": [],
|
"inputAnchors": [],
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||||||
"inputs": {
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"inputs": {
|
||||||
"modelName": "gpt-3.5-turbo",
|
"modelName": "gpt-3.5-turbo",
|
||||||
"temperature": "0.2",
|
"temperature": "0.5",
|
||||||
"maxTokens": "",
|
"maxTokens": "",
|
||||||
"topP": "",
|
"topP": "",
|
||||||
"frequencyPenalty": "",
|
"frequencyPenalty": "",
|
||||||
@@ -306,14 +128,14 @@
|
|||||||
"selected": false
|
"selected": false
|
||||||
},
|
},
|
||||||
"selected": false,
|
"selected": false,
|
||||||
"positionAbsolute": { "x": 804.3889791707068, "y": 195.11620799951592 },
|
"positionAbsolute": { "x": 514.1088940275924, "y": 199.574479681537 },
|
||||||
"dragging": false
|
"dragging": false
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"width": 300,
|
"width": 300,
|
||||||
"height": 481,
|
"height": 481,
|
||||||
"id": "conversationalRetrievalQAChain_0",
|
"id": "conversationalRetrievalQAChain_0",
|
||||||
"position": { "x": 1160.4877473512795, "y": 259.2799138505109 },
|
"position": { "x": 900.4793407261002, "y": 205.9476004518217 },
|
||||||
"type": "customNode",
|
"type": "customNode",
|
||||||
"data": {
|
"data": {
|
||||||
"id": "conversationalRetrievalQAChain_0",
|
"id": "conversationalRetrievalQAChain_0",
|
||||||
@@ -392,7 +214,7 @@
|
|||||||
],
|
],
|
||||||
"inputs": {
|
"inputs": {
|
||||||
"model": "{{chatOpenAI_0.data.instance}}",
|
"model": "{{chatOpenAI_0.data.instance}}",
|
||||||
"vectorStoreRetriever": "{{vectaraExisting_0.data.instance}}",
|
"vectorStoreRetriever": "{{vectaraUpsert_0.data.instance}}",
|
||||||
"memory": "",
|
"memory": "",
|
||||||
"returnSourceDocuments": "",
|
"returnSourceDocuments": "",
|
||||||
"systemMessagePrompt": "",
|
"systemMessagePrompt": "",
|
||||||
@@ -410,29 +232,191 @@
|
|||||||
"selected": false
|
"selected": false
|
||||||
},
|
},
|
||||||
"selected": false,
|
"selected": false,
|
||||||
"positionAbsolute": { "x": 1160.4877473512795, "y": 259.2799138505109 },
|
"positionAbsolute": { "x": 900.4793407261002, "y": 205.9476004518217 },
|
||||||
"dragging": false
|
"dragging": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"width": 300,
|
||||||
|
"height": 509,
|
||||||
|
"id": "pdfFile_0",
|
||||||
|
"position": { "x": -210.44158723479913, "y": 236.6627524951051 },
|
||||||
|
"type": "customNode",
|
||||||
|
"data": {
|
||||||
|
"id": "pdfFile_0",
|
||||||
|
"label": "Pdf File",
|
||||||
|
"version": 1,
|
||||||
|
"name": "pdfFile",
|
||||||
|
"type": "Document",
|
||||||
|
"baseClasses": ["Document"],
|
||||||
|
"category": "Document Loaders",
|
||||||
|
"description": "Load data from PDF files",
|
||||||
|
"inputParams": [
|
||||||
|
{ "label": "Pdf File", "name": "pdfFile", "type": "file", "fileType": ".pdf", "id": "pdfFile_0-input-pdfFile-file" },
|
||||||
|
{
|
||||||
|
"label": "Usage",
|
||||||
|
"name": "usage",
|
||||||
|
"type": "options",
|
||||||
|
"options": [
|
||||||
|
{ "label": "One document per page", "name": "perPage" },
|
||||||
|
{ "label": "One document per file", "name": "perFile" }
|
||||||
|
],
|
||||||
|
"default": "perPage",
|
||||||
|
"id": "pdfFile_0-input-usage-options"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Use Legacy Build",
|
||||||
|
"name": "legacyBuild",
|
||||||
|
"type": "boolean",
|
||||||
|
"optional": true,
|
||||||
|
"additionalParams": true,
|
||||||
|
"id": "pdfFile_0-input-legacyBuild-boolean"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Metadata",
|
||||||
|
"name": "metadata",
|
||||||
|
"type": "json",
|
||||||
|
"optional": true,
|
||||||
|
"additionalParams": true,
|
||||||
|
"id": "pdfFile_0-input-metadata-json"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputAnchors": [
|
||||||
|
{
|
||||||
|
"label": "Text Splitter",
|
||||||
|
"name": "textSplitter",
|
||||||
|
"type": "TextSplitter",
|
||||||
|
"optional": true,
|
||||||
|
"id": "pdfFile_0-input-textSplitter-TextSplitter"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputs": { "textSplitter": "", "usage": "perPage", "legacyBuild": "", "metadata": "" },
|
||||||
|
"outputAnchors": [
|
||||||
|
{ "id": "pdfFile_0-output-pdfFile-Document", "name": "pdfFile", "label": "Document", "type": "Document" }
|
||||||
|
],
|
||||||
|
"outputs": {},
|
||||||
|
"selected": false
|
||||||
|
},
|
||||||
|
"selected": false,
|
||||||
|
"positionAbsolute": { "x": -210.44158723479913, "y": 236.6627524951051 },
|
||||||
|
"dragging": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"width": 300,
|
||||||
|
"height": 408,
|
||||||
|
"id": "vectaraUpsert_0",
|
||||||
|
"position": { "x": 172.06946164914868, "y": 373.11406233089934 },
|
||||||
|
"type": "customNode",
|
||||||
|
"data": {
|
||||||
|
"id": "vectaraUpsert_0",
|
||||||
|
"label": "Vectara Upsert Document",
|
||||||
|
"version": 1,
|
||||||
|
"name": "vectaraUpsert",
|
||||||
|
"type": "Vectara",
|
||||||
|
"baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"],
|
||||||
|
"category": "Vector Stores",
|
||||||
|
"description": "Upsert documents to Vectara",
|
||||||
|
"inputParams": [
|
||||||
|
{
|
||||||
|
"label": "Connect Credential",
|
||||||
|
"name": "credential",
|
||||||
|
"type": "credential",
|
||||||
|
"credentialNames": ["vectaraApi"],
|
||||||
|
"id": "vectaraUpsert_0-input-credential-credential"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Vectara Metadata Filter",
|
||||||
|
"name": "filter",
|
||||||
|
"description": "Filter to apply to Vectara metadata. Refer to the <a target=\"_blank\" href=\"https://docs.flowiseai.com/vector-stores/vectara\">documentation</a> on how to use Vectara filters with Flowise.",
|
||||||
|
"type": "string",
|
||||||
|
"additionalParams": true,
|
||||||
|
"optional": true,
|
||||||
|
"id": "vectaraUpsert_0-input-filter-string"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Sentences Before",
|
||||||
|
"name": "sentencesBefore",
|
||||||
|
"description": "Number of sentences to fetch before the matched sentence. Defaults to 2.",
|
||||||
|
"type": "number",
|
||||||
|
"additionalParams": true,
|
||||||
|
"optional": true,
|
||||||
|
"id": "vectaraUpsert_0-input-sentencesBefore-number"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Sentences After",
|
||||||
|
"name": "sentencesAfter",
|
||||||
|
"description": "Number of sentences to fetch after the matched sentence. Defaults to 2.",
|
||||||
|
"type": "number",
|
||||||
|
"additionalParams": true,
|
||||||
|
"optional": true,
|
||||||
|
"id": "vectaraUpsert_0-input-sentencesAfter-number"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Lambda",
|
||||||
|
"name": "lambda",
|
||||||
|
"description": "Improves retrieval accuracy by adjusting the balance (from 0 to 1) between neural search and keyword-based search factors.",
|
||||||
|
"type": "number",
|
||||||
|
"additionalParams": true,
|
||||||
|
"optional": true,
|
||||||
|
"id": "vectaraUpsert_0-input-lambda-number"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "Top K",
|
||||||
|
"name": "topK",
|
||||||
|
"description": "Number of top results to fetch. Defaults to 4",
|
||||||
|
"placeholder": "4",
|
||||||
|
"type": "number",
|
||||||
|
"additionalParams": true,
|
||||||
|
"optional": true,
|
||||||
|
"id": "vectaraUpsert_0-input-topK-number"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputAnchors": [
|
||||||
|
{
|
||||||
|
"label": "Document",
|
||||||
|
"name": "document",
|
||||||
|
"type": "Document",
|
||||||
|
"list": true,
|
||||||
|
"id": "vectaraUpsert_0-input-document-Document"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputs": {
|
||||||
|
"document": ["{{pdfFile_0.data.instance}}"],
|
||||||
|
"filter": "",
|
||||||
|
"sentencesBefore": "",
|
||||||
|
"sentencesAfter": "",
|
||||||
|
"lambda": "",
|
||||||
|
"topK": ""
|
||||||
|
},
|
||||||
|
"outputAnchors": [
|
||||||
|
{
|
||||||
|
"name": "output",
|
||||||
|
"label": "Output",
|
||||||
|
"type": "options",
|
||||||
|
"options": [
|
||||||
|
{
|
||||||
|
"id": "vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
|
||||||
|
"name": "retriever",
|
||||||
|
"label": "Vectara Retriever",
|
||||||
|
"type": "Vectara | VectorStoreRetriever | BaseRetriever"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "vectaraUpsert_0-output-vectorStore-Vectara|VectorStore",
|
||||||
|
"name": "vectorStore",
|
||||||
|
"label": "Vectara Vector Store",
|
||||||
|
"type": "Vectara | VectorStore"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"default": "retriever"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"outputs": { "output": "retriever" },
|
||||||
|
"selected": false
|
||||||
|
},
|
||||||
|
"positionAbsolute": { "x": 172.06946164914868, "y": 373.11406233089934 },
|
||||||
|
"selected": false
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"edges": [
|
"edges": [
|
||||||
{
|
|
||||||
"source": "pdfFile_0",
|
|
||||||
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
|
|
||||||
"target": "vectaraExisting_0",
|
|
||||||
"targetHandle": "vectaraExisting_0-input-document-Document",
|
|
||||||
"type": "buttonedge",
|
|
||||||
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-vectaraExisting_0-vectaraExisting_0-input-document-Document",
|
|
||||||
"data": { "label": "" }
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"source": "vectaraExisting_0",
|
|
||||||
"sourceHandle": "vectaraExisting_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
|
|
||||||
"target": "conversationalRetrievalQAChain_0",
|
|
||||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
|
||||||
"type": "buttonedge",
|
|
||||||
"id": "vectaraExisting_0-vectaraExisting_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
|
||||||
"data": { "label": "" }
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"source": "chatOpenAI_0",
|
"source": "chatOpenAI_0",
|
||||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||||
@@ -441,6 +425,24 @@
|
|||||||
"type": "buttonedge",
|
"type": "buttonedge",
|
||||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||||
"data": { "label": "" }
|
"data": { "label": "" }
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"source": "pdfFile_0",
|
||||||
|
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
|
||||||
|
"target": "vectaraUpsert_0",
|
||||||
|
"targetHandle": "vectaraUpsert_0-input-document-Document",
|
||||||
|
"type": "buttonedge",
|
||||||
|
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-vectaraUpsert_0-vectaraUpsert_0-input-document-Document",
|
||||||
|
"data": { "label": "" }
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"source": "vectaraUpsert_0",
|
||||||
|
"sourceHandle": "vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
|
||||||
|
"target": "conversationalRetrievalQAChain_0",
|
||||||
|
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||||
|
"type": "buttonedge",
|
||||||
|
"id": "vectaraUpsert_0-vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||||
|
"data": { "label": "" }
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
|
|||||||
Reference in New Issue
Block a user