Building LLM-Powered Web Apps with Client-Side Technology

The blog post discusses the creation of a web application that uses local models and technologies for machine learning tasks, specifically focusing on building a chatbot that can "talk" with documents. The author highlights several advantages to this approach, such as cost-effectiveness, privacy protection, and potential speed improvements due to reduced HTTP call overhead. The project involves data ingestion, retrieval, and generation using various open-source tools like LangChain, Transformers.js, Voy, and Ollama. The author also mentions the possibility of a new browser API for web applications to access locally running LLMs more easily.