The original title is "RocheDB: Data Locality as a First-Stage Retrieval Index"

Short summary

RocheDB proposes using data locality and physical placement as a first-stage retrieval filter, reducing candidate sets before ranking. By organizing related data into nearby rings, it shifts retrieval from global index search to local region selection. This reduces records scanned, memory payloads, I/O amplification, and downstream LLM context size for RAG workloads.

• •Data locality serves as first-stage retrieval, narrowing candidates before ranking
• •Rings group related data physically to reduce I/O and context size
• •Targets RAG, search, and recommendation pipelines where candidate volume is expensive

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