roughsearch 0.1.2

Full-text search with zero thinking.

Roughsearch

A full-text search engine that tries to require as little thinking as possible.

Roughsearch is a lightweight full-text search engine built on DuckDB and BM25. It targets Japanese and English only. You can use it from the CLI or call it directly from Python.

So when you want to search a large pile of text files in a decent way, what do you do? Start by writing a Dockerfile? Spin up an Elasticsearch container? Install a morphological analysis plugin? Fire a huge number of API requests at it? Wait forever for indexing? No. Your life will end first.

Roughsearch gives up on flexibility completely. Fine-grained settings, grand scoring systems, and everything else are gone. This software has exactly one purpose: "search roughly." Run $ pip install roughsearch, and the environment is ready. Point a command at the target directory, and the indexing is done. That is all.

Architecture

Roughsearch indexes loaded documents with the following pipeline:

1. It reads the text and runs morphological analysis with Sudachi.
2. It extracts major terms from the result, mainly nouns, verbs, and adjectives.
3. It indexes the normalized form of each extracted term and a romaji version of that term.

At search time, the original terms score higher and the transliterated alphabet forms score lower, producing weighted best-match results. All of this data is stored in a single .duckdb file, which makes the index highly portable.

Installation

$ pip install roughsearch

This software requires Python 3.11 or later.

Usage

Embedded Use

When you want to add a simple full-text search engine to your own system.

import roughsearch

with roughsearch.Client("docs.duckdb", language="ja") as rs:
    rs.add("doc-001", title="いろはにほへと", body="あのイーハトーヴォのすきとおった風")
    rs.add("doc-002", title="ちりぬるを", body="夏でも底に冷たさをもつ青いそら")
    rs.reindex()

    results = rs.search("風")
    for hit in results.hits:
        print(hit.score, hit.title, hit.snippet)

CLI Server

When you just want to get it running.
The server exposes a REST API that any frontend can use for search.

$ roughsearch init docs.duckdb --language ja
$ roughsearch add docs.duckdb ./docs
$ roughsearch serve docs.duckdb --port 8080

add, serve, search, and dump normally use the default language saved by init. If needed, you can temporarily override it with --language.

HTTP Client

When you want to connect to a running Roughsearch server and query it.

import roughsearch

rs = roughsearch.HttpClient("http://localhost:8080")
results = rs.search("空")

CLI Reference

Commands

Command	Description
init <db_path>	Initialize and create a new database
add <db_path> <path>	Add documents from a directory and rebuild the index
serve <db_path>	Start the REST API server
search <db_path> <query>	Search from the command line
reindex <db_path>	Rebuild the FTS index, for example after adding documents
reanalyze <db_path>	Reanalyze stored documents with the current analyzer and rebuild the index, for example after a software update
dump <db_path>	Print stored documents as JSON to stdout
stats <db_path>	Show the document count
inspect [text]	Analyzer debugging command that prints tokenization results as JSON

Options

init

Option	Default	Description
--language	ja	Database analyzer language (en or ja)

add

Option	Default	Description
--glob	None	Glob pattern for target files such as *.md
--language	None	Temporarily override the language for added documents

serve

Option	Default	Description
--language	None	Temporarily override the default language used by the server
--host	127.0.0.1	Bind address
--port	8080	Port number

search

Option	Default	Description
--language	None	Language filter for the search
--limit	20	Maximum number of results

dump

Option	Default	Description
--language	None	Filter by language
--limit	20	Maximum number of output rows

inspect

Option	Default	Description
--language	ja	Analyzer language
--title	""	Text to analyze on the title side
--file	None	Read the body from a file. If set, it takes precedence over the positional text argument

Examples

Index and Search a Local Document Directory

$ pip install roughsearch

$ roughsearch init notes.duckdb --language ja
$ roughsearch add notes.duckdb ./notes --glob "*.md"
$ roughsearch search notes.duckdb "ニンジャ"

Embedded Python Use with Metadata and Filters

import roughsearch

with roughsearch.Client("notes.duckdb", language="ja") as rs:
    rs.add(
        "note-001",
        title="いろはにほへと",
        body="あのイーハトーヴォのすきとおった風",
        metadata={"tags": ["note", "japanese"], "source": "handbook"},
        source_uri="handbook/note-001.md",
    )
    rs.reindex()

    from roughsearch.search.query import SearchQuery, SearchFilters
    results = rs.search(
        SearchQuery(
            query="風",
            filters=SearchFilters(tags=["note"]),
            highlight=True,
            limit=10,
        )
    )

Start the API Server and Search with curl

$ roughsearch serve docs.duckdb --port 8080 &

$ curl -s -X POST http://localhost:8080/documents \
  -H "Content-Type: application/json" \
  -d '{"id":"1","title":"いろはにほへと","body":"あのイーハトーヴォのすきとおった風"}'

$ curl -s -X POST http://localhost:8080/reindex

$ curl -s -X POST http://localhost:8080/search \
  -H "Content-Type: application/json" \
  -d '{"query":"風","limit":5}' | python -m json.tool

Bulk Add

import roughsearch

docs = [
    {"id": "1", "title": "いろはにほへと", "body": "あのイーハトーヴォのすきとおった風"},
    {"id": "2", "title": "ちりぬるを",  "body": "夏でも底に冷たさをもつ青いそら"},
]

with roughsearch.Client("bulk.duckdb") as rs:
    rs.add_documents(docs)
    rs.reindex()
    print(rs.search("風").total)

---

Output Format

{
  "query": "風",
  "total": 1,
  "hits": [
    {
      "id": "doc-001",
      "score": 8.512,
      "title": "いろはにほへと",
      "snippet": "あのイーハトーヴォのすきとおった<mark>風</mark>",
      "body": "あのイーハトーヴォのすきとおった風",
      "language": "ja",
      "source_uri": null,
      "heading_path": null,
      "parent_id": null,
      "chunk_id": null,
      "metadata": {}
    }
  ]
}

REST API Endpoints

Method	Path	Description
GET	/health	Health check
GET	/stats	Document counts by language
POST	/documents	Add one document
POST	/documents/bulk	Add multiple documents
GET	/documents/{id}	Fetch a document by ID
DELETE	/documents/{id}	Soft-delete a document
POST	/search	Full-text search
POST	/reindex	Rebuild the FTS index
POST	/optimize	Run a DB checkpoint and compaction

Notes

• Reindexing is required after writes. Documents added with add() are stored immediately, but they will not appear in search results until you call reindex(). This keeps bulk imports fast.
• Assume a single writer. DuckDB does not support concurrent writes. Run one server process and only one write operation at a time.
• It listens on localhost by default. If you need external access, place it behind a reverse proxy such as nginx.

License

MIT. See LICENSE for details.

powered by Sudachi: Apache License v2.0