Nodejs SDK

https://www.npmjs.com/package/rivalz-client

Rivalz client Node.js SDK link

This is a TypeScript library that provides functionalities for Rivazl Ai

Installation link

Before you start, make sure you have Node.js and npm/yarn installed on your machine.

  npm install rivalz-client
  

or

  yarn add rivalz-client
  

Usage link

1. Creates key in Rivalz Dashboard and use it to initialize the RivalzClient class. After installing the package, Please come in the Rivalz Dashboard to create a encrypted key and secret key.

   • Encrypt key used for encrypting the file
   • Secret key used for authentication

2. Import and use the RivalzClient class in your TypeScript/JavaScript code:

     import RivalzClient from 'rivalz-client';
   
   const rivalzClient = new RivalzClient('your-secret-key');
     

RAG (Retrieval-Augmented Generation) API link

Prerequisites link

Before using the rivalz RAG API, you need some rivalz credits. Claim for free now here

Creating knowledge base from a document link

To vectorize a document (which will be used as embedding for the RAG) and create a knowledge base, use the createRagKnowledgeBase method with the path to the document. This method returns the knowledge base id which can be used to create a conversation. We now only support PDF files for creating knowledge bases.

  const response = await client.createRagKnowledgeBase('path/to/your/document.pdf', 'knowledge_base_name')
console.log(response)
// {'id': '66fa5bf022e73c17073768f0', 'name': 'test', 'files': '1727683567711_sample.pdf', 'userId': '66c4151c98bd0d3d47de682a'}
  

Adding document to an existed knowledge base link

To add document to existed knowledge base, use the addDocumentToKnowledgeBase method with the knowledge base id and the path to the document.

  const response = await client.addDocumentToKnowledgeBase('knowledge_base_id', 'path/to/your/document.pdf')
console.log(response)
  

Deleting document from an existed knowledge base link

To delete document from existed knowledge base, use the deleteDocumentFromKnowledgeBase method with the knowledge base id and the document name.

  const response = await client.deleteDocumentFromKnowledgeBase('knowledge_base_id', 'document_id')
console.log(response)
  

Getting all knowledge bases link

To get all knowledge bases, use the getKnowledgeBases method.

  const response = await client.getKnowledgeBases()
console.log(response)
  

Getting details of a knowledge base link

To get details of a knowledge base, use the getKnowledgeBase method with the knowledge base id.

  const response = await client.getKnowledgeBase('knowledge_base_id')
console.log(response)
  

Creating a conversation link

To create a conversation, use the createChatSession method with the knowledge base id and the question. This will return the AI response along with the chat session id.

  const response = await client.createChatSession('knowledge_base_id', 'question')
console.log(response)
// {'answer': 'Hello! How can I help you today? \n', 'session_id': '66fa625fb58f5a4b9a30b983', 'userId': '66c4151c98bd0d3d47de682a'}
  

Adding a message to a conversation link

To add a message to a conversation, use the same method createChatSession with the chat session id and the message.

  const response = await client.createChatSession('knowledge_base_id', 'message', 'chat_session_id')
console.log(response)
  

Getting all conversations link

To get all conversations, use the getChatSessions method.

  const response = await client.getChatSessions()
console.log(response)
  

Getting details of a conversation link

To get details of a conversation (which contains chat history for this conversation), use the getChatSession method with the chat session id.

  const response = client.getChatSession('chat_session_id')
console.log(response)
  

Get uploaded documents link

To get all uploaded documents, use the getUploadedDocuments method.

  const response = await client.getUploadedDocuments()
console.log(response)
  

Examples link

Here is a complete example demonstrating how to use the rivalz-client to create a simple RAG conversation based on a PDF document:

  /*
main.ts
 */

import RivalzClient from 'rivalz-client';

const main = async () => {
  // Initialize the RivalzClient with the secret token
  const client = new RivalzClient('your-secret-key');
  // create knowledge base
  const knowledgeBase = await client.createRagKnowledgeBase('sample.pdf', 'knowledge_base_name');
  const knowledgeBaseId = knowledgeBase.id;
  // create conversation
  let conversation = await client.createChatSession(knowledgeBaseId, 'what is the document about?');
  const conversationId = conversation.session_id;
  // add message to conversation
  conversation = await client.createChatSession(knowledgeBaseId, 'What is a RAG application ?', conversationId);
  console.log(conversation.answer);
  
}
main()