Technology
trigram indexing
Trigram indexing breaks strings into three-character sequences to enable high-speed fuzzy matching and regular expression searches across massive datasets.
Trigram indexing functions by decomposing text into overlapping chunks of three characters (e.g., 'index' becomes ' i', ' in', 'ind', 'nde', 'dex', 'ex '). This approach allows databases like PostgreSQL, via the pg_trgm module, to calculate string similarity and execute LIKE or regex queries without scanning every row. It is the industry standard for implementing performant autocomplete features and typo-tolerant search engines. By indexing these 3-gram signatures in a GIST or GIN structure, developers can achieve sub-second response times on substring matches across millions of records.
What builders pair with trigram indexing
Projects using both technologies. Select a pairing to see a project.
2 more pairings
Pairing: dependency graphs
CodeDB: Building a Code Intelligence Server That Cuts Agent Token Usage
Pairing: GitHub
CodeDB: Building a Code Intelligence Server That Cuts Agent Token Usage
Pairing: HTTP
CodeDB: Building a Code Intelligence Server That Cuts Agent Token Usage
Pairing: inverted word indexing
CodeDB: Building a Code Intelligence Server That Cuts Agent Token Usage
Pairing: JSON-RPC
CodeDB: Building a Code Intelligence Server That Cuts Agent Token Usage
Pairing: MCP
CodeDB: Building a Code Intelligence Server That Cuts Agent Token Usage
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