Ragie Paid

Fully Managed RAG-as-a-Service for LLM Applications

Ragie is a fully managed RAG-as-a-service platform that makes it easy to connect your data to large language models. It handles ingestion, chunking, embeddings, and retrieval so you can focus on your application.

Building retrieval-augmented generation from scratch is complex. Ragie ingests documents from sources like Google Drive, Notion, and Salesforce, keeps them synced, and returns relevant context through a simple API with built-in citations.

Product Features

  • Managed ingestion, chunking, and embedding pipeline
  • Connectors for Google Drive, Notion, Salesforce, and more
  • Hybrid search combining vector and keyword retrieval
  • Reranking and summary-based retrieval modes
  • Entity extraction and metadata filtering
  • Simple REST API and SDKs

Product Highlights

  • Go from documents to answers in hours, not weeks
  • Always-synced data via native connectors
  • High-quality retrieval with hybrid and reranking
  • Scales with your data without managing infrastructure

Use Cases

  • Powering a support assistant over internal documentation
  • Building a legal or compliance knowledge search
  • Adding Q&A to a SaaS product
  • Creating a research assistant over a document library
  • Syncing live CRM data into an AI copilot