blevesearch/bleve

Health v2 · maintenance only

Adoption not part of the score

11187 stars · 712 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Bleve is a full-text indexing and search library for Go supporting text, numeric, datetime, geo-spatial, and vector fields. It provides rich query types, BM25/TF-IDF scoring, faceting, and hybrid exact-plus-semantic search embedded in your application.

Use cases

• add full-text search to a Go application
• index JSON documents and query them with match or phrase queries
• search documents by geographic location or shape
• run k-nearest-neighbor vector search alongside keyword search
• build faceted search with terms and range aggregations
• implement fuzzy and wildcard search over structured data

When to choose

• you need an embedded search engine in Go without running a separate search server
• you need combined text, numeric, geo, and vector indexing in one library
• you want hybrid keyword and semantic search with rank fusion

When to avoid

• you need a distributed, horizontally scalable search cluster
• your stack is not Go and you prefer a standalone engine like Elasticsearch
• you only need simple key-value lookups without relevance ranking

Facets

library · maturity active

search-engine database vector-database databases developer-tools go cross-platform full-text-search indexing geo-search vector-search bm25 hybrid-search embedded search

Member repositories

For agents

markdown · JSON · MCP: product_card(name="blevesearch/bleve")