Docu-Bot: AI assisted user support

Users may have difficulties to find the needed information in the documentation for products, when many pages of documentation are available on multiple web pages or in email forums. We have developed and tested an AI based tool, which can help users to find answers to their questions. The Docubot uses Retrieval Augmentation Generation solution to generate answers to various questions. It uses github or open gitlab repositories with documentation as a source of information. Zip files with documentation in a plain text or markdown format can also be used for input. Sentence transformer model and Large Language Model generate answers. Different LLM models can be used. For performance reasons, in most tests we use the model Mistral-7B-Instructv0.2, which fits into the memory of the Nvidia T4 GPU. We have also tested a larger model Mixtral-8x7B-Instruct-v0.1, which requires more GPU memory, available for example on Nvidia A100, A40 or H100 GPU cards. Another possibility is to use the API of OpenAI models like gpt-3.5-turbo, but the user has to provide his/her own API access key to cover expenses.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701222
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Docu-Bot: AI assisted user support

Michal Chudoba, Lukáš Hejtmánek, J. Chudoba
EPJ Web of Conferences
AI in Service Interactions
article

Docu-Bot: AI assisted user support

Michal Chudoba, Lukáš Hejtmánek, J. Chudoba
article en

Abstract

Users may have difficulties to find the needed information in the documentation for products, when many pages of documentation are available on multiple web pages or in email forums. We have developed and tested an AI based tool, which can help users to find answers to their questions. The Docubot uses Retrieval Augmentation Generation solution to generate answers to various questions. It uses github or open gitlab repositories with documentation as a source of information. Zip files with documentation in a plain text or markdown format can also be used for input. Sentence transformer model and Large Language Model generate answers. Different LLM models can be used. For performance reasons, in most tests we use the model Mistral-7B-Instructv0.2, which fits into the memory of the Nvidia T4 GPU. We have also tested a larger model Mixtral-8x7B-Instruct-v0.1, which requires more GPU memory, available for example on Nvidia A100, A40 or H100 GPU cards. Another possibility is to use the API of OpenAI models like gpt-3.5-turbo, but the user has to provide his/her own API access key to cover expenses.

EPJ Web of ConferencesVol. 337
Charles University (CZ), Masaryk University (CZ), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), Czech Academy of Sciences, Institute of Computer Science (CZ)
Openalex Percentile: Top 85%
AI in Service Interactions
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Docu-Bot: AI assisted user support — Michal Chudoba, Lukáš Hejtmánek, et al. · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS