Captain Chatbot
Captain Chatbot was built with the objective of simplifying access to organizational knowledge through conversational AI. We engineered an intelligent backend that understands user intent, retrieves the most relevant documents, and crafts responses using a Large Language Model (LLM). The chatbot is multilingual, supported by language detection and translation of workflows within the pipeline. As a part of our AI chatbot development services, we implemented a RAG-based architecture to ensure every response is sourced from actual company knowledge rather than relying on general-purpose language generation. The system includes a knowledge retrieval layer (using embeddings and vector databases), a semantic matching engine, and a response generation module. Additionally, it is supported by asynchronous task execution, API integration layers, and background job handling to ensure consistent performance.
