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Dhiraj Patra
Dhiraj Patra

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Steps to Create Bot

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If you want to develop a ChatBot with Azure and OpenAi in a few simple steps. You can follow the steps below.

  1. Design and Requirements Gathering:
  • Define the purpose and functionalities of the chatbot.

  • Gather requirements for integration with Azure, OpenAI, Langchain, Promo Engineering, Document Intelligence System, KNN-based question similarities with Redis, vector database, and Langchain memory.

  1. Azure Setup:
  • Create an Azure account if you don't have one.

  • Set up Azure Functions for serverless architecture.

  • Request access to Azure OpenAI Service.

  1. OpenAI Integration:
  • Obtain API access to OpenAI.

  • Integrate OpenAI's GPT models for natural language understanding and generation into your chatbot.

  1. Langchain Integration:
  • Explore Langchain's capabilities for language processing and understanding.

  • Integrate Langchain into your chatbot for multilingual support or specialized language tasks.

  • Implement Langchain memory for retaining context across conversations.

  1. Promo Engineering Integration:
  • Understand Promo Engineering's features for promotional content generation and analysis.

  • Integrate Promo Engineering into your chatbot for creating and optimizing promotional messages.

  1. Document Intelligence System Integration:
  • Investigate the Document Intelligence System's functionalities for document processing and analysis.

  • Integrate Document Intelligence System for tasks such as extracting information from documents or providing insights.

  1. Development of Chatbot Logic:
  • Develop the core logic of your chatbot using Python.

  • Utilize Azure Functions for serverless execution of the chatbot logic.

  • Implement KNN-based question similarities using Redis for efficient retrieval and comparison of similar questions.

  1. Integration Testing:
  • Test the integrated components of the chatbot together to ensure seamless functionality.
  1. Azure AI Studio Deployment:
  • Deploy LLM model in Azure AI Studio.

  • Create an Azure AI Search service.

  • Connect Azure AI Search service to Azure AI Studio.

  • Add data to the chatbot in the Playground.

  • Add data using various methods like uploading files or programmatically creating an index.

  • Use Azure AI Search service to index documents by creating an index and defining fields for document properties.

  1. Deployment and Monitoring:
  • Deploy the chatbot as an App.

  • Navigate to the App in Azure.

  • Set up monitoring and logging to track performance and user interactions.

  1. Continuous Improvement:
  • Collect user feedback and analyze chatbot interactions.

  • Iterate on the chatbot's design and functionality to enhance user experience and performance.

https://github.com/Azure-Samples/azureai-samples

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