<h2>Text Search Engine</h2>
A text search engine that supports mixed Chinese and English fuzzy search
A dynamic programming-based text search engine that supports mixed Chinese and English fuzzy search, returning the highest-weight matching results.
Check out this online demo if you are interested.

npm i text-search-engine
Supports both Node.js and Web environments.
import { search } from 'text-search-engine'
const source = 'nonode'
search(source, 'no') //[[0, 1]]
// Matches 'no', continuous characters have higher weight
search(source, 'nod') // [[2, 4]]
search(source, 'noe') // [[0, 1], [5, 5]]
search(source, 'oo') // [[1, 1],[3, 3]]
search('nonode', 'noe') Match result: nonode
import { search } from 'text-search-engine'
const source = '地表最强前端监控平台'
search(source, 'jk') // [[6, 7]]
search(source, 'qianduapt') // [[4, 5],[8, 9]]
search('地表最强前端监控平台', 'qianduapt') Match result: 地表最强前端监控平台
import { search } from 'text-search-engine'
search('Node.js 最强监控平台 V9', 'nodejk') //[[0, 3],[10, 11]]
const source_2 = 'a_nd你你的就是我的'
search(source_2, 'nd') //[[2, 3]]
// Matches '你你的'
search(source_2, 'nnd') //[[4, 6]]
// Matches 'a_'n'd你你的就'是我的'
search(source_2, 'nshwode') //[[2, 2],[8, 10]]
search('Node.js 最强监控平台 V9', 'nodejk') Match result: Node.js 最强监控平台 V9
Adding spaces makes each term independent. Each term starts matching from the beginning, and matched terms will be removed, so the next term starts matching from the beginning and ignores previously matched terms.
const source_1 = 'Node.js 最强监控平台 V9'
search(source_1, 'jknode') // undefined
search(source_1, 'jk node') // [[10, 11],[0, 3]]
search('Node.js 最强监控平台 V9', 'jk node') Match result: Node.js 最强监控平台 V9
const source_1 = 'zxhxo zhx'
search(source_1, 'zh') //[[6, 7]])
// Even though the weight of 'zh' is higher, but the next term 'o' is not matched, so hit the previous one
search(source_1, 'zho') //[[0, 0],[2, 2],[4, 4]])
This API is used for quickly validating text match highlights. It returns ANSI escape codes that can be output using console.log in both Web and Node.js environments to see the highlighted text.
import { highlightMatches } from 'text-search-engine'
console.log(highlightMatches('Node.js 最强监控平台 V9', 'nodev9'))
The console will output: Node.js 最强监控平台 V9
Default: false
const source = 'chrome 应用商店'
search(source, 'meyinyon') //[[4, 5], [7, 8]])
// would merge blank spaces between each index of the matched term
search(source, 'meyinyon', { mergeSpaces: true }) //[[4, 8]])
| Time Complexity | Space Complexity | |
|---|---|---|
| Best | O(M(source)) | O(M(source)) |
| Worst | O(M(source) * N(target)) | O(M(source) * N(target)) |
welcome to raise issue, you can contact me on wx or email if you have some good suggestion(notes: text-search-engine) * wx:cjinhuo * email: cjinhuo@qq.com
$ claude mcp add text-search-engine \
-- python -m otcore.mcp_server <graph>