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YouTube

Building a Private Chatbot with LangChain, Ollama and Qwen 2.5 for Mobile App Review Analysis

Venelin Valkov via YouTube

Overview

Learn to create a private chatbot for analyzing mobile app reviews in this 19-minute video tutorial. Follow along to develop a local AI application using LangChain, Ollama, and Qwen 2.5 LLM in approximately 150 lines of code. Master the complete development process from setting up the architecture to implementing the CLI interface. Explore key concepts including dependency installation, prompt engineering, data formatting, and message handling with the language model. Gain hands-on experience working with essential libraries while building a practical application that processes and generates responses to questions about app reviews. The step-by-step instruction covers system architecture, data preview, dependency management, Ollama installation, code setup, prompt creation, review formatting, LLM integration, and command-line interface development. Access the complete source code and detailed text tutorial through MLExpert Pro for additional reference.

Syllabus

- Welcome
- Demo
- Text tutorial and code on MLExpert.io
- App architecture diagram
- Libraries we'll use
- Review data preview
- Install dependencies with uv
- Install Ollama
- Setup and imports
- Prompts
- Get and format reviews
- Pass messages to the LLM
- CLI app
- Conclusion

Taught by

Venelin Valkov

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