# Katecheo: A Portable and Modular System for Multi-Topic Question Answering

Source: [Katecheo: A Portable and Modular System for Multi-Topic Question Answering](<https://www.sota2.com/research/paper/68fa66fb1e209131cea1367b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T22:03:19.943Z

Authors: Shirish Hirekodi, Seban Sunny, Leonard Topno, Alwin Daniel, Daniel Whitenack, Reuben Skewes, Stuart Cranney

Published: 2019-07-01T15:20:10.000Z

## Abstract

We introduce a modular system that can be deployed on any Kubernetes cluster for question answering via REST API. This system, called Katecheo, includes three configurable modules that collectively enable identification of questions, classification of those questions into topics, document search, and reading comprehension. We demonstrate the system using publicly available knowledge base articles extracted from Stack Exchange sites. However, users can extend the system to any number of topics, or domains, without the need to modify any of the model serving code or train their own models. All components of the system are open source and available under a permissive Apache 2 License.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1907.00854>)

[PDF](<https://arxiv.org/pdf/1907.00854.pdf>)