Developer Builds Multi-Tenant RAG Knowledge Base with Source Citations and Demo Mode

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A full-stack developer at RA Technologies has built KnowBase AI, a multi-tenant SaaS knowledge base that lets businesses upload documents and receive AI-generated answers grounded in their own content. The system uses a retrieval-augmented generation pipeline covering document ingestion, intelligent chunking with overlap, semantic retrieval, and source-cited responses streamed via server-sent events. Multi-tenancy required isolating each workspace's data at the retrieval layer to ensure one tenant's documents never surface in another's answers. The tech stack includes Next.js 16, TypeScript, SQLite with Prisma, and a provider abstraction layer supporting OpenAI, Gemini, and Claude, with a mock fallback enabling a public demo without API key exposure. The developer highlights source citations as the critical feature that makes the tool trustworthy for real business use cases like customer support.

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