# blugelabs/bluge

indexing library for Go

Repository: https://github.com/blugelabs/bluge
Canonical: https://ross.abutalabs.com/products/bluge
Language: Go
License: Apache-2.0
License Family: permissive
Last push: 2026-01-25T21:34:55+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 64, release rhythm 8, longevity 100
- inputs: {"age_days": 2195, "days_push": 220, "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 2031, forks 128 (observed 2026-08-28T04:06:07.245234+00:00)

## What it is
Bluge is a modern full-text indexing and search library for Go, supporting text, numeric, date, and geo fields with BM25 scoring. It provides queries, highlighting, and extensible aggregations like bucketing and metrics.

## Use cases
- add full-text search to a Go application
- build an embedded search index without a separate server
- index and query text, numeric, date, and geo fields
- compute search aggregations like term buckets and cardinality
- highlight matching terms in search results

## When to choose
- you need an embedded, in-process search engine in Go
- you want BM25 scoring with pluggable similarity
- you need aggregations and highlighting alongside search

## When to avoid
- you need a distributed, multi-node search cluster
- you want a turnkey search server with REST API out of the box
- your stack is not Go

## Facets
- artifact type: library
- maturity: active
- function: search-engine, parser
- domain: databases, developer-tools
- platform: go, cross-platform
- tags: full-text-search, text-indexing, bm25, inverted-index, embedded-search, aggregations, highlighting, search

## Member repositories
- blugelabs/bluge (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:07.245234+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 2026-08-30T02:59:32.132040+00:00, confidence not recorded.
  - readme: https://github.com/blugelabs/bluge (fetched 2026-08-28T04:06:07.245234+00:00, sha b304d120ab1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.