Agentset

What it does

Agentset is an open-source RAG (Retrieval-Augmented Generation) infrastructure designed to help developers build production-grade AI chat and search applications. It handles the complex aspects of RAG, including document extraction, chunking, hybrid search, and agentic reasoning, ensuring that AI apps remain reliable even with large-scale data and high user traffic. The platform is model-agnostic, allowing users to choose their own LLMs, vector databases, and embedding models. It supports over 22 file formats and multimodal data like images and tables, providing cited answers out of the box for sectors like medical AI, legal tech, and enterprise search.

Core features

• ✦Production-grade RAG infrastructure with hybrid search and reranking
• ✦Multimodal support for text, images, graphs, and tables
• ✦Model-agnostic architecture (choose your own LLM, Vector DB, and Embeddings)
• ✦Automatic source citations and metadata filtering
• ✦Developer-friendly SDKs and MCP server integration
• ✦Deep research and agentic reasoning capabilities

Use cases

• →Building research-grounded medical AI assistants
• →Creating enterprise search systems for complex legal or municipal documents
• →Replacing traditional keyword search with high-precision semantic search
• →Developing AI chatbots with reliable answers for customer support