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What is CMS + RAG?

CMS + RAG is an AI-native content management solution designed specifically for SMBs and teams that need more than just document storage. It combines a fully functional content management system with a built-in retrieval-augmented generation pipeline, transforming your static documents, wikis, and knowledge bases into dynamic, answerable context.

Why It Matters

Traditional content management systems were built for storage and retrieval — finding a document by its title or metadata. CMS + RAG shifts that paradigm entirely. Instead of searching for which document contains the answer, your team simply asks a question and receives a precise, cited response drawn directly from your organizational knowledge.

Key Features

  • RAG Pipeline with Chunking, Embedding & Retrieval — Your content is automatically processed through a sophisticated pipeline that breaks documents into meaningful chunks, generates embeddings, and enables high-accuracy semantic retrieval.

  • Multi-Source Ingestion — Connect and import from PDF files, Notion workspaces, Confluence pages, and web URLs. All your knowledge, unified in one place.

  • AI-Assisted Content Creation — Draft, edit, and summarize content with built-in AI assistance that understands your existing knowledge base and maintains consistency across your documentation.

  • Team Collaboration & Governance — Role-based access controls, structured review workflows, and full version history ensure your content remains accurate and authoritative as your team grows.

  • Citation Tracking — Every AI-generated answer includes direct links to its source material, so your team can verify claims and trace information back to its origin — building trust and reducing hallucination risk.

Who Is It For?

CMS + RAG is built for small and medium-sized teams that accumulate institutional knowledge across multiple tools and platforms. If your team spends more time searching for information than acting on it, this solution eliminates that friction by making your collective knowledge instantly queryable and reliably sourced.

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