The text announces a new integration between StreamLit and NVIDIA NIM/NeMo to create an interactive chatbot using a Retrieval Augmented Generation (RAG) architecture with Couchbase Capella as a Vector database, accelerating the retrieval and generation phases. This solution aims to improve customer service by providing frontline workers with AI-powered chatbots that retrieve relevant information quickly, reducing latency and improving response times. The integration combines the flexibility of JSON-based data storage with high-performance search capabilities, enabling scalable and reliable deployment options for enterprise use cases such as healthcare, customer service, and sales.