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| <p>AI Research <span class="citation" data-cites="Redis">@Redis</span> explores and prototypes retrieval and language technologies that can be shipped into Redis products and used by developers.</p> |
| <p>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.</p> |
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| <li>Retrieval, search, and semantic caching</li> |
| <li>LLM systems and evaluation</li> |
| <li>Agentic workflows and research AI infrastructure</li> |
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| <li>Hugging Face: https://huggingface.co/redis</li> |
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