# sea-team/gofound

GoFound GoLang Full text search go语言全文检索引擎，毫秒级查询。 使用http接口调用，集成Admin管理界面，任何系统都可以使用。

Repository: https://github.com/sea-team/gofound
Canonical: https://ross.abutalabs.com/products/gofound
Language: Go
License: Apache-2.0
License Family: permissive
Last push: 2024-05-27T04:18:55+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1604, "days_push": 828, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1597, forks 194 (observed 2026-08-28T04:05:09.287386+00:00)

## What it is
GoFound is a lightweight full-text search engine written in Go, featuring inverted/forward indexes, built-in Chinese word segmentation (jieba), and LevelDB-based persistence. It exposes an HTTP API, includes a web admin interface, and runs as a single native binary with minimal memory usage compared to Elasticsearch.

## Use cases
- add full-text search to a web app without running Elasticsearch
- search Chinese-language content with built-in word segmentation
- run a low-memory search engine on a small server
- query indexed documents over a simple HTTP API
- self-host a search service with a visual admin dashboard
- persist search indexes to disk with millisecond query speed

## When to choose
- you need a lightweight, dependency-free alternative to Elasticsearch
- memory footprint and simple configuration matter more than a mature ecosystem
- your content is primarily Chinese and you want built-in tokenization
- you want a single binary with an admin UI and HTTP API

## When to avoid
- you need distributed clustering, replication, or horizontal scaling
- you rely on Elasticsearch's rich query DSL, aggregations, or plugin ecosystem
- you need battle-tested enterprise support and extensive documentation
- you require advanced relevance tuning or multilingual analyzers beyond Chinese

## Facets
- artifact type: service
- maturity: active
- function: search-engine, http-server, nlp
- domain: databases, developer-tools
- platform: windows, self-hosted, go
- tags: full-text-search, chinese-tokenization, inverted-index, leveldb, admin-ui, lightweight-elasticsearch-alternative, search, natural-language-processing, linux, macos, docker, web-server

## Member repositories
- sea-team/gofound (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:09.287386+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:54:00.781265+00:00, confidence not recorded.
  - readme: https://github.com/sea-team/gofound (fetched 2026-08-28T04:05:09.287386+00:00, sha 33cd2c2169cc)
- Data as of 2026-08-30T08:39:29.467469+00:00.