Design a Search Index
Builder PatternStrategy PatternComposite PatternInverted IndexTrieRanking Algorithms
Design a search index system that supports efficient full-text search operations, including autocomplete functionality using a Trie data structure and relevance-based ranking of search results using various ranking algorithms. The system should handle large-scale document indexing, support real-time autocomplete suggestions, and provide flexible ranking strategies that can be swapped at runtime. The design must be scalable, maintainable, and easily extensible to support new ranking algorithms and search features.
What You'll Build
- The system must support adding documents to the search index, where each document has a unique ID and text content.
- The system must implement an inverted index that maps terms to document IDs, enabling efficient retrieval of documents containing specific terms.
- The system must provide autocomplete functionality that suggests terms matching a given prefix in real-time, using a Trie data structure.
- The system must support multiple ranking algorithms (e.g., TF-IDF, BM25, term frequency) that can be selected and swapped at runtime.
- The system must handle multi-word search queries, finding documents that match the query terms and ranking them by relevance.
- ...and more
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