La ricerca semantica con embedding AI restituisce un errore 500

Supporto Installazione
,
1

Ciao a tutti,

Ho abilitato la “ricerca semantica con AI embeddings” sul mio sito, ma ogni volta che provo a cercare qualcosa, ricevo un errore 500 Internal Server Error e non vengono restituiti risultati. La ricerca normale funziona correttamente quando disabilito questa impostazione.

Ecco cosa appare nella console del browser:

static.cloudflareinsights.com/beacon.min.js/v4513226cdae34746b4dedf0b4dfa099e1781791509496:1  Failed to load resource: net::ERR_BLOCKED_BY_CLIENT
app.js:365 ℹ️ Discourse v2026.7.0-latest — https://github.com/discourse/discourse/commits/9981e29915 — Ember v6.10.1
/discourse-ai/embeddings/semantic-search?q=asd:1  Failed to load resource: the server responded with a status of 500 ()
ajax.js:233  GET https://btt.community/discourse-ai/embeddings/semantic-search?q=discourse 500 (Internal Server Error)
send @ jquery.js:9940
ajax @ jquery.js:9521
i @ ajax.js:233
$ @ ajax.js:252
performHyDESearch @ ai-full-page-search.gjs:228
onSearch @ ai-full-page-search.gjs:64
sendEvent @ cache-DtDz7X5V.js:471
trigger @ evented.js:68
search @ full-page-search.js:623
(anonymous) @ index.js:2534
$h @ ember-text-field.gjs:46
insertNewline @ ember-text-field.gjs:155
interpretKeyEvents @ ember-text-field.gjs:142
keyUp @ ember-text-field.gjs:177
_trigger @ core_view.js:75
superWrapper @ mandatory-setter-CXNsxygN.js:311
_trigger @ ember-events.js:138
superWrapper @ mandatory-setter-CXNsxygN.js:311
(anonymous) @ ember-events.js:199

Ho allegato anche uno screenshot dell’errore.

Qualcuno ha già riscontrato questo problema, o saprebbe dirmi cosa potrebbe causarlo / cosa dovrei verificare dalla mia parte (impostazioni, chiavi API, log, ecc.)? Qualsiasi indicazione sarebbe apprezzata.

Grazie in anticipo!

image
image434×148 805 Bytes

2

Hai configurato un modello di embedding nella pagina delle impostazioni AI?

3

Sì, l’ho fatto. Ho configurato un modello di embedding Gemini nella pagina delle impostazioni AI e il pulsante Esegui test si completa con successo con un risultato Success!, come mostrato nello screenshot. Quindi il modello di embedding sembra essere configurato correttamente.

image
image1102×325 14.5 KB

Ho anche questo errore in alto, non so se sia correlato.

{A260A143-3DC6-4BA9-8906-55B70837FF12}

4

È probabile che ci siano ulteriori informazioni anche in /logs, poiché gli errori di tipo 500 vengono registrati lì. Puoi controllare?

Il messaggio “Success!” conferma solo che le credenziali API e l’endpoint funzionano, ma non testa il processo di ricerca semantica.

5

Errore ERROR: attese 768 dimensioni, non 3072 durante la query degli embeddings per il modello gemini:

Messaggio (15 copie segnalate)

Errore ERROR: attese 768 dimensioni, non 3072
 durante la query degli embeddings per il modello gemini

Backtrace

/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/activesupport-8.0.5/lib/active_support/broadcast_logger.rb:218:in 'block in ActiveSupport::BroadcastLogger#dispatch'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/activesupport-8.0.5/lib/active_support/broadcast_logger.rb:217:in 'Array#map'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/activesupport-8.0.5/lib/active_support/broadcast_logger.rb:217:in 'ActiveSupport::BroadcastLogger#dispatch'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/activesupport-8.0.5/lib/active_support/broadcast_logger.rb:129:in 'ActiveSupport::BroadcastLogger#error'
/var/www/discourse/plugins/discourse-ai/lib/embeddings/schema.rb:188:in 'DiscourseAi::Embeddings::Schema#asymmetric_similarity_search'
/var/www/discourse/plugins/discourse-ai/lib/embeddings/semantic_search.rb:89:in 'DiscourseAi::Embeddings::SemanticSearch#search_for_topics'
/var/www/discourse/plugins/discourse-ai/app/controllers/discourse_ai/embeddings/embeddings_controller.rb:70:in 'block in DiscourseAi::Embeddings::EmbeddingsController#search'
/var/www/discourse/lib/hijack.rb:68:in 'BasicObject#instance_eval'
/var/www/discourse/lib/hijack.rb:68:in 'block (2 levels) in Hijack#hijack'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/i18n-1.14.8/lib/i18n.rb:354:in 'I18n::Base#with_locale'
/var/www/discourse/lib/hijack.rb:68:in 'block in Hijack#hijack'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:911:in 'Concurrent::Promises::Event#callback_on_resolution'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:797:in 'Concurrent::Promises::AbstractEventFuture#call_callback'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:803:in 'Concurrent::Promises::AbstractEventFuture#call_callbacks'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:692:in 'Concurrent::Promises::AbstractEventFuture#resolve_with'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:1325:in 'Concurrent::Promises::ResolvableEvent#resolve'
/var/www/discourse/lib/scheduler/defer.rb:135:in 'block in Scheduler::Deferrable#do_work'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/rails_multisite-7.0.0/lib/rails_multisite/connection_management/null_instance.rb:49:in 'RailsMultisite::ConnectionManagement::NullInstance#with_connection'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/rails_multisite-7.0.0/lib/rails_multisite/connection_management.rb:17:in 'RailsMultisite::ConnectionManagement.with_connection'
/var/www/discourse/lib/scheduler/defer.rb:130:in 'Scheduler::Deferrable#do_work'
/var/www/discourse/lib/scheduler/defer.rb:116:in 'block (2 levels) in Scheduler::Deferrable#start_thread'

Env

HTTP HOSTS: censor

Impossibile elaborare correttamente la risposta intercettata : DiscourseAi::Embeddings::Schema::MissingEmbeddingError : DiscourseAi::Embeddings::Schema::MissingEmbeddingError

Messaggio (15 copie segnalate)

Impossibile elaborare correttamente la risposta intercettata : DiscourseAi::Embeddings::Schema::MissingEmbeddingError : DiscourseAi::Embeddings::Schema::MissingEmbeddingError

Backtrace

/var/www/discourse/plugins/discourse-ai/lib/embeddings/schema.rb:189:in 'DiscourseAi::Embeddings::Schema#asymmetric_similarity_search'
/var/www/discourse/plugins/discourse-ai/lib/embeddings/semantic_search.rb:89:in 'DiscourseAi::Embeddings::SemanticSearch#search_for_topics'
/var/www/discourse/plugins/discourse-ai/app/controllers/discourse_ai/embeddings/embeddings_controller.rb:70:in 'block in DiscourseAi::Embeddings::EmbeddingsController#search'
/var/www/discourse/lib/hijack.rb:68:in 'BasicObject#instance_eval'
/var/www/discourse/lib/hijack.rb:68:in 'block (2 levels) in Hijack#hijack'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/i18n-1.14.8/lib/i18n.rb:354:in 'I18n::Base#with_locale'
/var/www/discourse/lib/hijack.rb:68:in 'block in Hijack#hijack'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:911:in 'Concurrent::Promises::Event#callback_on_resolution'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:797:in 'Concurrent::Promises::AbstractEventFuture#call_callback'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:803:in 'Concurrent::Promises::AbstractEventFuture#call_callbacks'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:692:in 'Concurrent::Promises::AbstractEventFuture#resolve_with'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/concurrent-ruby-1.3.7/lib/concurrent-ruby/concurrent/promises.rb:1325:in 'Concurrent::Promises::ResolvableEvent#resolve'
/var/www/discourse/lib/scheduler/defer.rb:135:in 'block in Scheduler::Deferrable#do_work'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/rails_multisite-7.0.0/lib/rails_multisite/connection_management/null_instance.rb:49:in 'RailsMultisite::ConnectionManagement::NullInstance#with_connection'
/var/www/discourse/vendor/bundle/ruby/3.4.0/gems/rails_multisite-7.0.0/lib/rails_multisite/connection_management.rb:17:in 'RailsMultisite::ConnectionManagement.with_connection'
/var/www/discourse/lib/scheduler/defer.rb:130:in 'Scheduler::Deferrable#do_work'
/var/www/discourse/lib/scheduler/defer.rb:116:in 'block (2 levels) in Scheduler::Deferrable#start_thread'

Env

HTTP HOSTS: btt.community
6

Sembra che mi sia bastato ricreare la configurazione degli Embeddings nelle impostazioni di amministrazione di Discourse-AI per Gemini, impostando le dimensioni degli embedding a 3072. Immagino che questa configurazione sia stata creata un po’ di tempo fa, quando il valore predefinito era ancora 768.

Grazie a @nat per avermi suggerito di controllare i log!