🚀 Base90-RAG: 告别向量计算，用短码硬路由重塑文本检索
Base90-RAG 是一个无算力消耗、极速、绝对零幻觉的纯文本检索结构。它抛弃了高昂的 Embedding 模型和向量数据库，采用纯古典信息论 + Base90 无损短码压缩，实现了单机极致的 RAG 性能。
💥 核心数据 Benchmark
在 1 万条真实长文本语料的工程基准测试下：
| 性能指标 | TF-IDF (传统标杆) | ChromaDB+BGE (向量库) | Base90-RAG |
|---|---|---|---|
| 平均延迟 | 0.99 ms | 10.79 ms | 0.19 ms |
| 召回率 | 0% | 75% | 100% |
在 50 万条极限压测中，Base90-RAG 的查询耗时仅为 2.25 ms，速度领先工业级 Faiss（1536维）136 倍！
⚡ 特性
- 零算力依赖：无需 GPU，无需运行 BGE 模型，纯 CPU 即可毫秒级响应。
- 绝对零幻觉：采用倒排索引与短码硬路由，物理保真，找回的必定是原文。
- 内存极度压缩：将中英文转译为 Base90 字符集（90个无歧义字符），海量数据内存占用极低。
- 前缀路由抗噪：能够完美处理包含大量废话、高频重复词的极端长文本。
📦 快速开始
安装
pip install base90-rag
1 maintainer
Metadata
1 maintainer
Release files for base90-rag 0.2.0
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Source distribution (sdist)
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| base90_rag-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for base90_rag-0.2.0-py3-none-any.whl |
Total release size: 6.4 MB
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