Blog
In our Tn-Tech AI journey, we set out to build a RAG-based news article chatbot system designed to ingest articles from various publishers daily into a Vector Store, and then leverage that data to provide summaries and answers on the latest news topics.
In the journey of developing our first Generative AI-powered application, we faced numerous challenges that pushed us to evolve our approach significantly. Central to this evolution was the development of our AI Advisor Interface, which began as a simple extension of the RequestResponseAdvisor.
In our quest to enhance AI-driven content interactions at TN-Tech, we’ve encountered numerous challenges, none more pivotal than the concept of “chunking” in our RAG (Retrieval-Augmented Generation) system.
In the rapidly evolving landscape of artificial intelligence, integrating Generative AI into business applications presents a unique set of challenges and opportunities. Our latest project dives deep into this integration, transforming how users interact with news articles by leveraging cutting-edge AI technologies.