Agentset – Open-source APIs for AI chat and search with reliable RAG infrastructure

Summary: Agentset provides open-source retrieval-augmented generation (RAG) infrastructure designed to handle production workloads. It enables document uploads, API queries, and returns answers with source citations, supporting hybrid search, multimodal data, and complex reasoning in a model-agnostic way.

What it does

Agentset processes large document collections via API, combining hybrid search, reranking, and agentic reasoning to deliver accurate answers with automatic citations. It supports multimodal inputs and works across different AI models.

Who it's for

It is used by teams in medical AI, legal technology, and enterprise search requiring scalable, production-ready RAG solutions.

Why it matters

Agentset addresses the challenges of deploying RAG at scale by integrating lessons from extensive debugging and large-scale document processing to ensure reliable, production-grade performance.