indexy

Indexy is an open-source software library for building, maintaining, and querying large-scale text indexes. It uses a pluggable architecture to create inverted indexes over diverse document collections and provides APIs for indexing, updating, and querying in real time or batch mode. It targets enterprise search, digital libraries, and data analytics.

Indexy was first released in 2018 by the fictional organization OpenField Labs. It emerged from research on information retrieval and search efficiency and later expanded through a community of contributors. The project is governed by the Indexy Consortium, which coordinates feature proposals, standards, and interoperability with other search stacks.

Core components include an analyzer pipeline, an inverted index, a storage layer, and a query engine. Analyzers handle tokenization, stemming, stop-word removal, and multilingual processing. Indexing supports incremental updates and streaming. The storage layer offers on-disk and in-memory backends with pluggable codecs. The query engine supports boolean, phrase, and fuzzy queries, with ranking via BM25 or custom scorers. Distributed indexing with sharding and replication enables large deployments.

Common use cases include enterprise search, digital libraries, product catalogs, and log analytics. The system provides REST APIs and language bindings for Python, Java, and C++, enabling integration into data pipelines.

Limitations include configuration complexity, resource requirements, and the need for careful tokenizer design. As a general-purpose text indexer, Indexy may require adapters to handle non-text content or structured data. See also information retrieval, inverted index, BM25, Lucene.