hsearch_db() builds and caches the help search database for
  subsequent use by help.search.  (In fact, re-builds only
  when forced (rebuild = TRUE) or necessary.)  The format of the help search database is still experimental, and may
  change in future versions.  Currently, it consists of four tables: one
  with base information about all documentation objects found, including
  their names and titles and unique ids; three more tables contain the
  individual aliases, concepts and keywords together with the ids of the
  documentation objects they belong to.  Separating out the latter three
  tables accounts for the fact that a single documentation object may
  provide several of these entries, and allows for efficient searching.
  See the details in help.search for how searchable
  entries are interpreted according to help type.
  hsearch_db_concepts() and hsearch_db_keywords() extract
  all concepts or keywords, respectively, from a help search database,
  and return these in a data frame together with their total frequencies
  and the numbers of packages they are used in, with entries sorted in
  decreasing total frequency.