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Agentic Ready 25/100

            

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# Ragie > Ragie is a fully managed RAG-as-a-Service platform for developers - covering ingestion, extraction, chunking, multi-index (vector/keyword/summary) indexing, and high-precision retrieval, with SDKs and APIs for rapid production use. Important notes: - Built for production: multi-tenant architecture; enterprise features; does not use your data for training. - Core pipeline stages are: parsing -> extraction -> refinement -> chunking -> indexing -> retrieval. - Best entry points for developers are the "Getting Started" guide and the API reference. ## Docs (start here) - [Getting Started](https://docs.ragie.ai/docs/getting-started): Overview, quick setup, key concepts. - [API Reference](https://docs.ragie.ai/reference): REST endpoints including Documents, Retrievals, Connectors, Partitions, Entities, Webhooks. - [Tools & SDKs](https://docs.ragie.ai/docs/tools-and-sdks): Python & TypeScript clients and helpers. - [Connectors](https://docs.ragie.ai/docs/connectors/overview): Native integrations (e.g., Google Drive, Confluence, Notion, Slack, etc.). - [Webhooks](https://docs.ragie.ai/docs/advanced-features/webhooks): Event flow for monitoring & orchestration. - [Rate Limits & Errors](https://docs.ragie.ai/docs/troubleshooting/rate-limits): Operational guidance for robust integrations. ## Quick API landings - [Create Document](https://docs.ragie.ai/reference/createdocument): Ingest; statuses progress through `pending -> ... -> ready`. - [Retrieve](https://docs.ragie.ai/reference/retrieve): Semantic retrieval with options like rerank and metadata filtering. - [Connections API](https://docs.ragie.ai/reference/list-connections): Manage connectors and trigger sync. - [Partitions](https://docs.ragie.ai/reference/list-partitions): Multi-tenant or logical isolation for scoped retrieval. ## Product & positioning - [Homepage](https://www.ragie.ai/): What Ragie is, pipeline highlights, and links to SDKs/docs. - [Pricing](https://www.ragie.ai/pricing): Plan tiers and us