Agentset is an open-source RAG (Retrieval-Augmented Generation) platform designed to build frontier AI applications. It offers features like built-in citations, deep research capabilities, and supports over 22 file formats. Key features include:
- Reliable Accuracy: Incorporates hybrid search and reranking techniques.
- Deep Research: Reviews more sources for in-depth answers.
- Automatic Citations: Cites sources for user inspection.
- Metadata Filtering: Bases answers on specific data subsets.
- Preview Links: Customizable chat interface for external feedback.
- Developer Experience: JavaScript and Python SDKs for data upload.
- MCP Server: Integrates knowledge base with external applications.
- AI SDK Integration: Compatible with AI SDKs for application integration.
- Model Agnostic: Supports various vector databases, embedding models, and LLMs.
Agentset simplifies the development of production-ready RAG applications, minimizing hallucinations and optimizing context handling. It targets developers looking to quickly deploy and customize RAG solutions with features like end-to-end encryption, bring your own cloud options, EU data residency, and on-premise deployment.
