Ragie

A fully managed RAG-as-a-Service platform that provides intelligent indexing, retrieval, document parsing, and entity extraction to power AI applications with accurate context. It solves the problem of building and maintaining complex retrieval pipelines by offering a unified API for connecting, ingesting, and deploying context from various data sources. The platform targets developers and engineering teams at startups to large enterprises who need to integrate context-aware AI into their products. It is delivered as a cloud-based API service with pre-built connectors and an MCP server for agentic access.

Key features

• Multimodal support for text, PDFs, images, audio, video
• Native connectors for Google Drive, Notion, Slack, etc.
• Hybrid search with vector, keyword, and summary indexes
• MCP server for agentic access to knowledge base
• Partitions for secure data isolation by tenant
• Agentic OCR for structured element extraction
• Entity extraction via plain language instructions
• Reranking, webhooks, recency bias, deep search