FaQBot is a RAG (Retrieval-Augmented Generation) system designed to answer natural-language queries over a customised documentation database. The solution retrieves information accurately through content-based segmentation and segment categorisation enhanced using NLP techniques. This approach helps language models generate more specific and relevant answers from the available documentation.
FaQBot is intended for information retrieval from proprietary knowledge bases, documentation management, the understanding of unstructured documents, and easy access to specific information through chatbot-style interfaces.
Information retrieval from customised document repositories
FAQBot facilitates information retrieval from a knowledge base consisting of customised documentation. The system allows users to submit natural-language queries and receive answers generated from the available documents. It also includes capabilities for managing the documentation in the knowledge base and improving the understanding of unstructured documents.
FAQBot improves the quality of answers generated from customised documentation. Through content-based information segmentation and NLP-enhanced segment categorisation, the system enables more precise document retrieval. This allows LLMs to generate answers that are better matched to the query.
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