Ragie vs Agentset
Choosing the right RAG platform is crucial for building AI applications. Compare Ragie and Agentset to see which solution best meets your needs.
Platform Comparison
Two leading RAG platforms, different approaches.
Both Ragie and Agentset are modern RAG platforms designed to help developers build AI applications with access to their organization's data. While they share similar goals, their approaches, features, and pricing models differ significantly.
Key differences at a glance:
- Agentset offers deeper research capabilities and agentic experiences
- Agentset provides more transparent and affordable pricing
- Agentset is fully open-source, allowing for complete customization
- Agentset focuses on document-first approach with specialized optimization
Feature Comparison
How the platforms stack up
| Feature | Agentset | Ragie | Description |
|---|---|---|---|
| Core Features | |||
| Basic RAG | Standard retrieval-augmented generation capabilities | ||
| Deep Research | Advanced agentic research capabilities beyond basic retrieval | ||
| Citations & Sources | Automatic citation and source tracking | ||
| Hybrid Search | Combining semantic and keyword-based search | ||
| Semantic Search | Meaning-based search using embeddings | ||
| Document Processing | |||
| PDF Processing | Handling and parsing PDF documents | ||
| HTML Support | Processing HTML content and web pages | ||
| Smart Chunking | Intelligent document chunking strategies | ||
| 22+ File Formats | Support for a wide range of document formats | ||
| Deployment & Integration | |||
| Self-Hosting Option | Ability to host on your own infrastructure | ||
| Cloud Managed | Fully managed cloud deployment | ||
| API Access | Access via REST APIs | ||
| Open Source | Full access to source code | ||
| Advanced Capabilities | |||
| Reranking | Reordering results based on relevance | ||
| Metadata Filtering | Filtering results using metadata | ||
| Entity Extraction | Identifying named entities in text | ||
| Agentic Capabilities | Agent-based processing and reasoning | ||
Pricing Comparison
Transparent and flexible pricing
Agentset offers more transparent and flexible pricing options compared to Ragie, with a forever-free tier and affordable scaling options.
Agentset
RecommendedFree Tier
1,000 pages included and 10,000 retrievals with no credit card required.
Pro Tier - $49/month
10,000 pages included, unlimited retrievals, and $0.01 per additional page.
Enterprise Tier
Custom pricing with unlimited pages and retrievals, self-hosting options, and dedicated support.
Open Source
Free self-hosted option with complete source code access.
Ragie
Developer Tier
Free with 1,000 max retrievals and 1,000 max pages.
Starter Tier - $100/month
Unlimited retrievals, 10,000 pages included, $0.02 per additional page.
Pro Tier - $500/month
Unlimited retrievals, 60,000 pages included, $0.02 per additional page.
Enterprise Tier
Custom pricing with unlimited pages and retrievals.
Key Differences
Why choose Agentset over Ragie
Open Source Advantage
Unlike Ragie, Agentset is fully open-source, giving you complete control over your implementation. Customize, extend, and integrate without limitations, and avoid vendor lock-in.
Agentic Capabilities
Agentset goes beyond traditional RAG with built-in agentic capabilities. This allows for deeper research, more thorough analysis, and higher quality insights from your documents.
Better Value
Agentset offers more affordable pricing at every tier, with a robust free plan and lower costs for additional pages. Get more features and greater flexibility at a fraction of the cost.
Self-Hosting Option
Only Agentset offers a true self-hosting option, allowing you to maintain complete data sovereignty and integrate seamlessly with your existing infrastructure.
Document Specialization
Agentset is specifically optimized for document processing with support for 22+ file formats and specialized chunking strategies designed to preserve document context.
Community-Driven
As an open-source platform, Agentset benefits from a growing community of contributors, ensuring continuous improvements, innovations, and shared knowledge.