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KT Bot is an AI-driven Retrieval-Augmented Generation (RAG) application that delivers accurate and context-aware responses. The bot utilizes an internal knowledge base and user-uploaded documents to retrieve relevant information and enhance responses using a generative AI model. The project aimed to develop a highly efficient AI assistant capable of processing natural language queries with precision, improving information accessibility and user experience.
The client required a RAG-based AI bot that retrieves documents from a structured knowledge base and enhances responses using a generative model. We set up a document database for internal and user-uploaded knowledge, configured an embedding model to process data, and implemented Pinecone for fast document retrieval. Additionally, we developed a query-processing pipeline to match user inputs with relevant documents and integrated the RAG pipeline into a bot framework for seamless interactions.
Oodles developed KT Bot by implementing a structured approach to AI-driven knowledge retrieval and response generation. Our solution included:

Wellsite™ serves oil and gas operators and service companies, streamlining oilfield operations through automation, application integration and collaboration ac
Technologies Involved:
Angular
+5 more
Area of Expertise:
Machine Learning
+2 more

The client offers ERP solutions for small-scale retailers, and eCommerce businesses, optimizing processes like financial management. They approached Oodles to develo
Technologies Involved:
Angular
+2 more
Area of Expertise:
iERP
+3 more