Class: Mneme::Search

Inherits:
Object
  • Object
show all
Defined in:
lib/mneme/search.rb

Overview

Full-text search over event history using SQLite FTS5. Covers user messages, agent messages, and think events across all sessions.

The interface is intentionally abstract — callers receive Result structs and never touch FTS5 directly. A future semantic search backend (embeddings, BM25 + re-ranking) can replace the implementation without changing callers.

Examples:

Search across all sessions

results = Mneme::Search.query("authentication flow")
results.each { |r| puts "event #{r.event_id}: #{r.snippet}" }

Search within a single session

results = Mneme::Search.query("OAuth config", session_id: 42)

Defined Under Namespace

Classes: Result

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(terms, session_id: nil, limit: 5) ⇒ Search

Returns a new instance of Search.



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# File 'lib/mneme/search.rb', line 37

def initialize(terms, session_id: nil, limit: 5)
  @terms = sanitize_query(terms)
  @session_id = session_id
  @limit = limit
end

Class Method Details

.query(terms, session_id: nil, limit: Anima::Settings.recall_max_results) ⇒ Array<Result>

Searches event history for the given terms.

Parameters:

  • terms (String) —

    search query (FTS5 syntax: words, phrases, OR/AND/NOT)

  • session_id (Integer, nil) (defaults to: nil) —

    scope to a specific session (nil = all sessions)

  • limit (Integer) (defaults to: Anima::Settings.recall_max_results) —

    maximum results

Returns:

  • (Array<Result>) —

    ranked by relevance (best first)



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# File 'lib/mneme/search.rb', line 33

def self.query(terms, session_id: nil, limit: Anima::Settings.recall_max_results)
  new(terms, session_id: session_id, limit: limit).call
end

Instance Method Details

#call ⇒ Array<Result>

Returns ranked by relevance (best first).

Returns:

  • (Array<Result>) —

    ranked by relevance (best first)



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# File 'lib/mneme/search.rb', line 44

def call
  return [] if @terms.blank?

  rows = execute_fts_query
  rows.map { |row| build_result(row) }
end