new(basic.gblib): GPT replacing ALLEN NLP Reading Comp.

package.json

@@ -119,7 +119,7 @@
     "express-remove-route": "1.0.0",
     "ffmpeg-static": "5.1.0",
     "google-libphonenumber": "3.2.31",
-    "googleapis": "109.0.1",
+    "googleapis": "126.0.1",
     "ibm-watson": "7.1.2",
     "join-images-updated": "1.1.4",
     "js-md5": "0.8.3",
@@ -128,6 +128,7 @@
     "koa": "2.13.4",
     "koa-body": "6.0.1",
     "koa-router": "12.0.0",
+    "langchain": "^0.0.163",
     "line-replace": "2.0.1",
     "lodash": "4.17.21",
     "luxon": "3.1.0",

packages/core.gbapp/services/GBDeployer.ts

@@ -56,6 +56,8 @@ import MicrosoftGraph from '@microsoft/microsoft-graph-client';
 import { GBLogEx } from './GBLogEx.js';
 import { DialogKeywords } from '../../basic.gblib/services/DialogKeywords.js';
 import { GBUtil } from '../../../src/util.js';
+import { HNSWLib } from 'langchain/vectorstores/hnswlib.js';
+import { OpenAIEmbeddings } from 'langchain/embeddings/openai';
 
 /**
  * Deployer service for bots, themes, ai and more.

packages/kb.gbapp/dialogs/AskDialog.ts

@@ -230,7 +230,7 @@ export class AskDialog extends IGBDialog {
 
         // TODO: https://github.com/GeneralBots/BotServer/issues/9 user.lastQuestion = text;
 
-        const resultsA = await service.ask(min.instance, text, searchScore, null /* user.subjects */);
+        const resultsA = await service.ask(min, text, searchScore, null /* user.subjects */);
 
         // If there is some result, answer immediately.
 

packages/kb.gbapp/services/KBService.ts

@@ -34,12 +34,16 @@
 
 import Path from 'path';
 import Fs from 'fs';
+import { OpenAIChat } from 'langchain/llms/openai';
+import { CallbackManager } from 'langchain/callbacks';
 import urlJoin from 'url-join';
 import asyncPromise from 'async-promises';
 import walkPromise from 'walk-promise';
 import { SearchClient } from '@azure/search-documents';
 import Excel from 'exceljs';
 import getSlug from 'speakingurl';
+import { ChatPromptTemplate, HumanMessagePromptTemplate, SystemMessagePromptTemplate } from 'langchain/prompts';
+import { LLMChain } from 'langchain/chains';
 import { GBServer } from '../../../src/app.js';
 import { HNSWLib } from 'langchain/vectorstores/hnswlib';
 import { JSONLoader } from 'langchain/document_loaders/fs/json';
@@ -49,9 +53,9 @@ import { DocxLoader } from 'langchain/document_loaders/fs/docx';
 import { EPubLoader } from 'langchain/document_loaders/fs/epub';
 import { CSVLoader } from 'langchain/document_loaders/fs/csv';
 import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';
+import { BufferWindowMemory } from 'langchain/memory';
 import { Document } from 'langchain/document';
 import path from 'path';
-import { YoutubeTranscript } from 'youtube-transcript';
 
 import {
   GBDialogStep,
@@ -395,6 +399,39 @@ export class KBService implements IGBKBService {
     const question = query.trim().replaceAll('\n', ' ');
     const context = await this.getRelevantContext(contextVectorStore, question, 1);
 
+    const systemPrompt = SystemMessagePromptTemplate.fromTemplate(
+    "You are General Bots");
+  
+    const chatPrompt = ChatPromptTemplate.fromPromptMessages([
+      systemPrompt,
+      HumanMessagePromptTemplate.fromTemplate('QUESTION: """{input}"""'),
+    ]);
+    const windowMemory = new BufferWindowMemory({
+      returnMessages: false,
+      memoryKey: 'immediate_history',
+      inputKey: 'input',
+      k: 2,
+    });
+
+    const callbackManager = CallbackManager.fromHandlers({
+      // This function is called when the LLM generates a new token (i.e., a prediction for the next word)
+      async handleLLMNewToken(token: string) {
+        
+      },
+    });
+        
+    const llm = new OpenAIChat({
+      streaming: true,
+      callbackManager,
+      modelName: 'gpt-3.5-turbo',
+    });
+    
+    const chain = new LLMChain({
+      prompt: chatPrompt,
+      memory: windowMemory,
+      llm,
+    });
+
     const response = await chain.call({
       input: question,
       context,