Suchindex

Suchindex is a modular information retrieval architecture designed to enable scalable search over large collections of documents. It provides an inverted index, a document store, and a flexible query processor with a pluggable ranking subsystem. The design emphasizes incremental indexing, support for multiple data types, and interoperability with various interfaces, making it suitable for enterprise search, digital libraries, and web-scale prototypes.

Architecture: The core consists of an index layer that stores an inverted index with postings lists, term statistics, and fielded data; a document store for raw documents or references; a metadata store for access control and auditing; a query processor that parses, rewrites, and executes queries; a ranking engine that combines traditional signals with learned scorers; and a caching layer for low-latency responses. The system is designed for distributed deployment with sharding, replication, and fault tolerance, and supports REST or SQL-like interfaces for integration.

Features: Suchindex supports boolean, phrase, proximity, wildcard, and fuzzy matching, as well as fielded search and filtering. It includes language processing pipelines (tokenization, stemming, stop-word removal), and language-agnostic analyzers. Ranking can use traditional models such as BM25 and TF-IDF, supplemented by language-specific heuristics or learned components. The platform also offers facets, result grouping, highlighting, and basic analytics for query performance and usage patterns.

History and reception: Suchindex originated as a research concept in information retrieval with contributions from academic and industry groups. Open-source implementations and forks appeared in the 2010s, leading to various integrations in institutional repositories, content management systems, and experimental web projects that explore modular search architectures.

See also: information retrieval, inverted index, vector space model, BM25, Lucene, Elasticsearch.