Jagdish Bharat prajapati

Developing an elastic chatbot application for the healthcare domain, integrating the Retrieval Augmented Model (RAG) with the Elastic ELSER Model. Implementing the application using React for the front end and Python with Elasticsearch for the back end. Utilizing Azure Open AI as a Large Language Model (LLM) for chatbot functionality. Installing Python dependencies and creating a virtual environment for backend development. Importing datasets into Elasticsearch for data storage and retrieval. Configuring environment files with essential parameters such as Elasticsearch endpoint, Azure Open Key for model identification, and version details. Ensuring seamless integration between frontend and backend components for a smooth user experience. Leveraging RAG for improved retrieval of relevant information in the healthcare domain. Implementing Elastic ELSER Model for enhanced search capabilities within the chatbot application. Employed React to create a dynamic and interactive user interface, enhancing user engagement.

Leading the migration project of an existing search platform from SOLR to Elasticsearch within the E-Commerce domain. Installing and configuring Elasticsearch on development servers to ensure a smooth transition. Utilized the NIFI tool for efficient ingestion of product and category-related data into Elasticsearch. Validating out-of-the-box indices to ensure data integrity and accuracy. Customizing migration processes to address missing fields during migration for both product and category stores. Creating custom indices using NIFI, optimizing data storage and retrieval. Developing comprehensive design documentation detailing the project's development processes. Ensuring seamless integration between SOLR and Elasticsearch for uninterrupted operation. Collaborating with cross-functional teams to streamline migration processes and mitigate potential challenges. Implementing best practices to enhance search functionality and improve user experience within the E-Commerce platform.