Ollmo, a production-grade RAG and Agent visualization platform for private deployment and team collaboration, has released version 0.1.0. It allows users to obtain precise answer sources by uploading documents and asking questions, and set up a private knowledge base Q&A system out of the box. The platform features a front-end and back-end separation design using Go and Fiber for the backend and Next.js App Router with shadcn-ui for the front-end, supporting one-click Docker deployment. It offers two service models (private deployment and SaaS) and integrates a hybrid search engine combining Milvus dense vectors and MySQL full-text search with RRF score fusion and semantic weight adjustment. Full-chain logical isolation of MySQL, Milvus, and MinIO ensures multi-tenant safety. The platform includes tools such as asynchronous batch document upload, real-time answer generation with citations, manual annotation to reduce hallucinations, workflow orchestration via React-Flow, GraphRAG for entity extraction, plus usage statistics dashboards, team permission management, open APIs, and bilingual support to meet enterprise team needs.