documentation update

packages/memory-service/src/entities/extraction.js

@@ -7,7 +7,15 @@ const EXTRACTION_MODEL = getEnv('EXTRACTION_MODEL', 'qwen2.5:3b'); // ChatML for
 const EMBEDDING_SERVICE_URL = getEnv('EMBEDDING_SERVICE_URL', SERVICES.EMBEDDING_URL);
 
 const ENTITY_TYPES = ENTITIES.TYPES;
-const IGNORED_NAMES = ['good morning', 'good night', 'hello', 'goodbye', 'thanks', 'thank you'];
+const IGNORED_NAMES = new Set([
+  'good morning', 'good night', 'good evening', 'good afternoon',
+  'hello', 'hi', 'hey', 'goodbye', 'bye', 'thanks', 'thank you', 'morning',
+]);
+
+function isIgnoredName(name) {
+  const normalized = name.toLowerCase().replace(/[^\w\s]/g, '').trim();
+  return IGNORED_NAMES.has(normalized);
+}
 
 // NOTE: This prompt uses ChatML format (<|im_start|> / <|im_end|> tags), which is
 // specific to qwen-family models. If EXTRACTION_MODEL is changed to a Llama-family
@@ -31,6 +39,7 @@ function buildExtractionPrompt(userMessage, aiResponse, knownEntities = []) {
         `Entity types: ${ENTITY_TYPES.join(', ')}`,
         'Use "character" for any fictional, game, or media characters (e.g. characters from anime, games, books, TV shows, movies)',
         'Use "person" only for real people',
+        'Do not extract greetings, pleasantries, or conversational filler (e.g. "good morning", "thanks") as entities.',
         'For each entity provide:',
         '  "name": short proper noun only (max 4 words)',
         '  "type": one of the valid types',