Developed comprehensive documentation for the deepsense-ai/ragbits repository, focusing on integrating Ollama-based local LLMs. The work provided end-to-end setup instructions and example Python code, enabling developers to deploy and experiment with local language models efficiently. Emphasizing async programming and clear technical writing, the documentation streamlined onboarding and facilitated offline testing and secure development workflows. By detailing integration patterns and leveraging documentation tooling, the contribution reduced time-to-value for new users and established a foundation for future Ragbits enhancements. No major bugs were reported during this period, reflecting a focus on feature delivery and robust, self-contained guidance for local LLM integration.