About

AI Research @Redis explores and prototypes retrieval and language technologies that can be shipped into Redis products and used by developers.

The team’s work spans both research and applied systems. Recent work has covered semantic caching, embedding-based retrieval, hybrid search, reranking, model evaluation, local LLM inference, and agent-oriented workflows. Alongside research experiments, the team also develops the infrastructure, datasets, and evaluation practices needed to turn promising ideas into reliable product capabilities.

Main themes

  • Retrieval, search, and semantic caching
  • LLM systems and evaluation
  • Agentic workflows and research AI infrastructure