Ragie
Ragie is a fully managed RAG-as-a-Service platform for developers. Ingest, index, and retrieve from sources like Google Drive, Notion, Confluence, Salesforce, and even audio and video. Build agentic retrieval workflows, or power context-aware tool selection with a hosted MCP Server. Ragie handles auth, permissions, and sync, with hybrid search, reranking, and real-time indexing. Enterprise-ready with GDPR, SOC 2, and HIPAA compliance. Get started for free with our Developer tier.
| What is it | Ragie is a fully managed RAG-as-a-Service platform for developers. Ingest, index, and retrieve from sources like Google Drive, Notion, Confluence, Salesforce, and even audio and video. Build agentic retrieval workflows, or power context-aware tool selection with a hosted MCP Server. Ragie handles auth, permissions, and sync, with hybrid search, reranking, and real-time indexing. Enterprise-ready with GDPR, SOC 2, and HIPAA compliance. Get started for free with our Developer tier. |
|---|---|
| Pricing | Freemium — from $100/mo |
| Free tier | Yes |
| Platform | Web Application |
| API | Yes |
| Best for | building document-search chatbots, adding AI-powered knowledge base search |
| Domain registered | 2024 |
Data updated Aug. 1, 2026
What does Ragie do?
Ragie is a fully managed RAG (Retrieval-Augmented Generation) service that handles the entire pipeline for developers. It takes your documents—PDFs, text files, or other formats—processes them into searchable chunks, and provides an API endpoint for querying. This means you can add intelligent document search capabilities to your applications without worrying about vector databases, embedding models, or infrastructure scaling. It's essentially a plug-and-play solution for making your proprietary data accessible to AI models.
The service stands out by handling all the complex backend work automatically. You simply upload your documents through their API or dashboard, and Ragie takes care of chunking, embedding, indexing, and search optimization. It uses state-of-the-art embedding models to ensure accurate retrieval and provides low-latency responses. The system automatically scales based on demand, so you don't need to manage servers or worry about performance during traffic spikes.
This tool is ideal for developers building applications that need to reference specific documents—like customer support chatbots that search knowledge bases, legal tech tools that analyze case files, or educational platforms that pull from textbooks. It's particularly valuable for teams that want AI-powered search functionality but lack the resources or expertise to build and maintain their own RAG infrastructure from scratch.
Key features
What makes it stand outWho is Ragie for?
Who benefits most from this toolPricing
Free tier available — start without a credit cardDeveloper
- 1,000 retrievals
- 1,000 page processing
- 10 audio video streaming GB
- 10 audio video processing hours
- Rerank
- Hybrid Search
- Hierarchical Search
Starter
- Unlimited retrievals
- 10,000 page processing
- 0.0067 audio processing per min
- 0.12 storage per GB per month
- 0.025 video processing per min
- 0.001 audio video streaming per mb
- 0.02 fast additional pages per page
- 0.05 hi res additional pages per page
- 0.002 search storage per page per month
- Rerank
- Hybrid Search
- Hierarchical Search
Pro
- Unlimited retrievals
- 60,000 page processing
- 0.0067 audio processing per min
- 0.12 storage per GB per month
- 0.025 video processing per min
- 0.001 audio video streaming per mb
- 0.02 fast additional pages per page
- 0.05 hi res additional pages per page
- 0.002 search storage per page per month
- Rerank
- Hybrid Search
- Hierarchical Search
Enterprise
- Custom storage
- Unlimited retrievals
- Custom search storage
- Unlimited page processing
- Custom audio processing
- Custom video processing
- Custom audio video streaming
- Custom fast additional pages
- Custom hi res additional pages
- Rerank
- Hybrid Search
- Hierarchical Search
Trust & presence
Gallery
Click any image to enlargeAlternatives in Developer Tools
Enterprise platform for building, managing, and monitoring Agentic RAG AI workflows with your own data.
Developer platform for building production-ready AI search and chat apps with your own data — no RAG expertise needed.
Enterprise platform to build, integrate, and deploy intelligent agent applications with structured data management and multi-model AI.
An AI-native vector database for building search, RAG, and agentic AI applications.
Open-source framework and cloud platform for building, testing, and deploying scalable RAG (Retrieval-Augmented Generation) data pipelines.
AI-powered deployment platform that automatically scales your applications with intelligent resource allocation
AI documentation platform that ingests your code repo and generates always-current docs automatically
AI memory engine that builds knowledge graphs from your data and learns from feedback over time
Similar tools
Low-code platform to build custom AI copilots using your own data — no advanced technical skills needed
An AI-powered agency that autonomously manages your SEO and AI search optimization to drive organic traffic.
Real-time data platform for AI agents and applications — caching, vector search, streaming, and session management
Build private RAG AI chatbots trained on your own documents — self-hosted with full data control
Enterprise AI platform that turns messy company data into actionable insights and automated workflows using secure, proprietary LLMs.