The Wildcat Navigators team developed a conversational AI assistant called “Wildcat Navigator” that helps students, families, visitors, employees, people with disabilities, and community members discover campus services, policies, facility information, and local Chico resources through natural language questions in a chat interface. The solution is built as a serverless application with a Next.js frontend and a backend using AWS Lambda (serverless compute) behind Amazon API Gateway (API layer) to handle chat requests, and it connects to Amazon Bedrock Knowledge Bases (managed RAG) to retrieve relevant documents from a curated knowledge base and generate cited, conversational answers using a foundation model from Amazon Bedrock (managed generative AI). The team populated the knowledge base with structured markdown documents covering campus services and policies, and they built custom web scrapers to gather data on over 40 downtown Chico restaurants and signature community events from public sources, enriching each document with metadata for filtering by date, time, and type. When a user asks a question, the system performs semantic search over the knowledge base, generates an answer grounded in the retrieved documents, and returns inline citations with hyperlinks to source materials, enabling self-service discovery of hard-to-find information like accommodation request workflows, facility rental processes, and dining options. The assistant supports bilingual interactions, responding in Spanish when the user writes in Spanish, and maintains conversation context across multiple turns using session IDs, reducing the volume of repetitive inquiries to campus offices while making critical services more discoverable and accessible for the entire Chico State community.