Building Retrieval-Augmented Generation (RAG) pipelines from scratch is one of the most tedious parts of shipping an AI application — handling ingestion, chunking, indexing, reranking, and keeping everything in sync with your data sources takes weeks of engineering work. Ragie eliminates all of that. It's a fully managed RAG-as-a-Service platform built for developers who want to ship state-of-the-art generative AI applications without rebuilding the plumbing every time. Simple APIs and SDKs make integration fast. Native connectors to Google Drive, Notion, Confluence, and more keep your data current automatically. Advanced features like summary indexing, chunk reranking, multimodal support, and flexible vector filtering are all built in. Build the AI, not the infrastructure.
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