Agentset

Agentset is an open-source RAG (Retrieval-Augmented Generation) infrastructure built for developers who want to ship production-grade AI chat and search applications without wrestling with the hard parts of retrieval. It takes care of document extraction, chunking, hybrid search, and agentic reasoning, so your AI apps stay reliable even when facing large-scale data and high user traffic.

Because Agentset is model-agnostic, you stay in control of your stack: pick your own LLMs, vector databases, and embedding models instead of being locked into a single provider. This flexibility makes it easy to adapt the platform to your existing infrastructure and evolving requirements.

The platform supports more than 22 file formats and handles multimodal data such as images and tables, so you can bring real-world documents into your applications without extra preprocessing work. Cited answers come out of the box, giving users trustworthy, verifiable responses—a critical advantage for sectors like medical AI, legal tech, and enterprise search, where accuracy and traceability matter most.