Agentic Knowledge Platform with Shared Generation
The client required a scalable AI knowledge platform rather than just a basic chatbot or document search feature. The agent needed to grasp the context of discussions, interpret references such as "this panel," access information from both shared and personal knowledge bases, deliver responses in real-time, and ensure that content remained up-to-date without having to regenerate identical materials for each user. SaaStoAgent developed a system featuring a Next.js frontend, FastAPI backend, MongoDB as the main database, Pinecone for vector retrieval, OpenAI for content generation and embeddings, and Celery with Redis for managing scheduled content creation and updates. This architecture distinguishes between shared generated panel information and user-specific presentation states, enabling the platform to generate and embed content once while allowing multiple users to utilize the same canonical resources on their own update schedules. The outcome was a flexible agentic platform with dual-corpus retrieval-augmented generation (RAG), shared content creation, individualized attachment retrieval for users, SSE streaming, admin monitoring, and LangSmith tracking.