Back to ProjectsAI Assistant for RuStore Developers
For RuStore, we developed a RAG-based AI assistant simplifying developer work with platform documentation — helping find relevant information, get code examples, and see links to original source sections.
Client
RuStore
Period
2 months
Format
AI assistant for documentation
About the project
For RuStore, we developed a RAG-based AI assistant simplifying developer work with platform documentation. The core idea: a chatbot that helps quickly find relevant documentation, get code examples, and see source links. Instead of manually searching sections, a developer asks a question in natural language and gets a practical answer tied to real working scenarios.
The Challenge
We needed an AI assistant helping developers navigate RuStore documentation faster. The service needed to base answers on actual documentation, provide code examples, and return links to relevant sections — not just generate text responses.
Our Solution
- Designed chatbot for RuStore technical documentation work
- Built RAG pipeline for searching and extracting relevant documentation fragments
- Implemented answer generation based on knowledge base, not model generation alone
- Added code example delivery as part of technical query responses
- Implemented links to relevant documentation sections in responses
- Delivered service as practical tool for accelerating developer documentation work
Results
- AI assistant for RuStore developer documentation delivered
- Technical documentation search moved to conversational format
- Developers got tool returning answers with code examples and documentation links
- Manual effort reduced when searching for relevant sections
- Case demonstrates expertise in RAG solutions and AI tools for developers
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