About

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

Focus

  • Search and retrieval (BM25, dense retrieval, hybrid retrieval, reranking)
  • RAG systems and end-to-end evaluation (offline + online)
  • Embeddings, vector search, and indexing tradeoffs
  • Agentic workflows and tool use (reliability, safety, and observability)
  • Applied LLM systems (latency, cost, caching, and deployment)

Team

Update this section with the current roster.

  • Name 1 - Role
  • Name 2 - Role
  • Name 3 - Role