Relaylit/Topics/Retrieval-augmented generation
AI & ML

Retrieval-augmented generation

Hybrid retrievers, late interaction, evaluation, long-context.

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RAG is the most widely deployed LLM pattern outside chatbots. New work advances retrievers (ColBERT, SPLADE, hybrid), long-context handling, and production evaluation. Relaylit surfaces the research that's actually useful to people building RAG in production.

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"Retrieval-augmented generation with hybrid retrievers and late-interaction re-ranking. Production-oriented work."

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arXiv

2.4M+ preprints in physics, mathematics, computer science, and quantitative disciplines.

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Semantic Scholar

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Related topics

LLM agents and tool use

Multi-step agents, tool calling, memory, reliability, evaluation harnesses.

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LLM evaluation and benchmarks

Benchmark design, contamination, human evals, agentic task suites.

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