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
