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Enable Contextual Scoring

Create an index and use the default context:

js
var index = new FlexSearch({
  tokenize: "strict",
  context: true,
});

Create an index and apply custom options for the context:

js
var index = new FlexSearch({
  tokenize: "strict",
  context: {
    resolution: 5,
    depth: 3,
    bidirectional: true,
  },
});

Only the tokenizer "strict" is actually supported by the contextual index.

The contextual index requires additional amount of memory depending on depth.

Auto-Balanced Cache (By Popularity)

You need to initialize the cache and its limit during the creation of the index:

js
const index = new Index({ cache: 100 });
js
const results = index.searchCache(query);

A common scenario for using a cache is an autocomplete or instant search when typing.

When passing a number as a limit the cache automatically balance stored entries related to their popularity.

When just using "true" the cache is unbounded and perform actually 2-3 times faster (because the balancer do not have to run).