Overview
Agentset is an open-source RAG (Retrieval Augmented Generation) platform designed to simplify and accelerate the development of intelligent document-based AI applications. By providing a comprehensive suite of tools and advanced techniques, Agentset enables developers to create powerful AI agents with minimal configuration.
Key Features
- High Accuracy RAG: Incorporates hybrid search and reranking techniques
- Deep Research Capabilities: Advanced agentic experiences with comprehensive result generation
- Automatic Source Citations: Transparent and verifiable AI-generated responses
- Multi-Format Document Parsing: Supports over 22 file types
- Semantic Search: State-of-the-art retrieval using advanced embedding models
- Metadata Filtering and Partitioning: Granular control over knowledge base querying
Use Cases
- Enterprise knowledge management
- Research and analysis platforms
- Customer support automation
- Technical documentation exploration
- Intelligent document search and summarization
- Academic and scientific research tools
Technical Specifications
- Open-source infrastructure
- Support for 22+ document file types
- Advanced embedding and retrieval models
- Scalable cloud and self-hosted deployment options
- Minimal configuration required
- Compatible with various AI and machine learning frameworks
