What is Agentset?
Agentset is a comprehensive RAG-as-a-service platform that enables developers to build sophisticated RAG applications without the complexity of managing infrastructure. With Agentset, you can:- Build powerful RAG applications with enterprise-grade features out of the box
- Leverage Agentic RAG capabilities for enhanced accuracy and reasoning
- Get answers with proper Citations and source attribution
- Process Large Document Sets in multiple formats (PDF, TXT, HTML, DOCX, and more)
- Scale seamlessly from prototype to production
Quick Start
Get started with our SDKs in minutes
Agentic Features
Explore advanced agentic capabilities
API Reference
Complete API documentation and endpoints
GitHub
View our open-source code and contribute
How is Agentset different?
Agentset stands out from other RAG solutions with its comprehensive approach to document intelligence:Advanced Retrieval Techniques
- Semantic Search: Advanced vector-based search that understands meaning and context
- Multi-Vector Embeddings: Uses multiple embedding strategies for better content understanding
- Intelligent Reranking: Sophisticated reranking algorithms to surface the most relevant results
Agentic Capabilities
- Planning & Reasoning: AI agents that can plan multi-step queries and reason about results
- Query Expansion: Automatically expands queries for more comprehensive results
- Answer Validation: Built-in validation to ensure response accuracy and reliability
Developer Experience
- Official SDKs: Native TypeScript and Python SDKs with full type safety
- Flexible Integration: REST API with comprehensive OpenAPI specification
- Rich Metadata: Extensive document metadata and filtering capabilities
Enterprise Ready
- Scalable Infrastructure: Built to handle large document collections and high query volumes
- Self-Hosting Options: Deploy on your own infrastructure for complete control
- Production Monitoring: Built-in observability and performance monitoring
Core Concepts
Understanding these key concepts will help you get the most out of Agentset:Namespaces
Organize and isolate your document collections
Ingest Jobs
Process and index documents into your knowledge base
Search
Semantic search with advanced retrieval techniques
Documents
Manage and organize your processed documents
Get Started
Ready to build your first RAG application? Choose your preferred approach:1
Explore SDKs
Check out our official SDKs for TypeScript and
Python with complete examples and type safety.
2
Review API Documentation
Browse the complete API Reference with detailed endpoint documentation and code samples.