ScalableRAG：无需向量库，零成本摄入实现高质量检索
_reachsumit · x · 2026-07-30
This article introduces ScalableRAG, a novel RAG framework designed to solve the high ingestion cost problem of traditional RAG (e.g., building knowledge graphs or extracting SQL tables).
- Core Mechanism: By maintaining a workspace of document sets and value sets that it can write into and read from, it enables on-the-fly aggregative reasoning without pre-building knowledge bases.
- Performance: It outperforms all baselines (including knowledge graph approaches) in 3 out of 6 tested corpora, with an average accuracy 7.36% higher than the next best competitor.
- Extended Version: Introduces Limited-Ingestion ScalableRAG, which uses a minimal vector database and automated pattern discovery to further improve accuracy at scale.
「编程与Agent」频道最新
- MCP 协议将迎无状态重写：可视化指南解析新架构 — dima806_dima · 2026-07-30
- ARC-AGI-3 评测 API 澄清：reasoning 字段用于记录模型输出 — GregKamradt · 2026-07-30
- Claude Opus 5 单文件 2.3MB 复刻《辐射》游戏 — chrisfirst · 2026-07-30
- CodePilot v0.62 发布说明：Markdown实时预览、文件树右键菜单等 — op7418 · 2026-07-30
- CodePilot v0.62 发布：侧边栏文件树支持右键操作，Markdown实时预览 — op7418 · 2026-07-30
- 实战解析：如何构建达到前沿大厂标准的 AI 评测体系 — aakashgupta · 2026-07-30