Expertise Specialist Industries
Insights
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Technologies Involved:
PYTHON
Area Of Work: Chat bot Web Development
Project Description

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.
 
Scope Of Work

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.
Our Solution

Oodles developed KT Bot by implementing a structured approach to AI-driven knowledge retrieval and response generation. Our solution included:

 

  • Document Database Setup: We created a robust knowledge repository for internal and user-uploaded documents.
  • Embedding Model Integration: We configured OpenAI’s embedding model to process and store document embeddings.
  • Efficient Document Indexing: We utilized Pinecone to build a vector database for fast document retrieval.
  • Query Processing Pipeline: We developed a mechanism to transform user queries into embeddings and retrieve the most relevant documents.
  • Seamless RAG Bot Integration: We integrated the RAG pipeline with a bot framework to enable real-time, intelligent responses.

 

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