Bleve is a search indexing engine library written in Go, designed to provide full-text search and document retrieval capabilities for embedded application data. It functions as a framework for indexing structured or unstructured information, allowing developers to build searchable collections that support complex query logic and data analysis.
The engine distinguishes itself through a pluggable analysis pipeline that normalizes text before indexing, alongside support for vector similarity search to identify semantically related content. It utilizes finite-state transducer automata for efficient prefix and fuzzy matching, while employing term frequency-inverse document frequency scoring to rank results based on statistical relevance.
The library manages the full lifecycle of index data, including segmented disk persistence and periodic merging to maintain performance. It supports advanced retrieval requirements such as boolean logic, geographic proximity filtering, and custom sorting rules, providing the necessary tools to integrate search and autocomplete functionality directly into applications.
