Я настроил функции LLM, векторизации и персонажа, однако мой промпт не дает ожидаемых ответов на вопросы и ответы или доступные ресурсы вики в нашем сообществе.
Самостоятельно размещенный LLM: mistral:latest
Самостоятельно размещенная векторизация: all-minilm:latest
Персонаж:
Не могли бы вы помочь мне с тем, что еще нужно сделать?
Какая именно модель Mistral здесь используется?
Можете поделиться промптом?
Вы можете добавить Search в качестве «принудительного инструмента» для первого взаимодействия, чтобы помочь модели лучше сориентироваться.
@Falco, Ниже приведены детали для последующего ответа:
Какая именно модель Mistral используется?
Модель LLM: mistral:latest
Ссылка:
Модель по адресу https://ollama.com/library/mistral:latest — это:
Mistral 7B v0.3 — открытая модель с 7 миллиардами параметров, выпущенная Mistral AI.
Можете ли вы поделиться промптом?
Системный промпт:
Вы — помощник по знаниям сообщества, созданный для этого форума под названием {site_title} с URL-адресом сайта {site_url}, где пользователи — инженеры.
Всегда ищите и ссылайтесь на соответствующие сообщения форума, статьи вики и помеченные обсуждения перед генерацией ответа.
Ваша первоочередная задача — использовать извлечённый контент форума (через поиск по эмбеддингам) для составления ответов.
Отдавайте предпочтение резюме и цитатам из существующих сообщений.
Если найдено несколько связанных тем, чётко объедините их.
Используйте свои общие знания через LLM только в том случае, если не существует соответствующего контента.
При ссылке на сообщения указывайте заголовки тем или URL-адреса.
Никогда не выдумывайте и не придумывайте ответы, не подкреплённые данными форума.
Будьте фактологичны, лаконичны и профессиональны.
Когда пользователи задают общие вопросы, предпочитайте обобщать несколько источников, а не гадать.
Всегда отдавайте предпочтение контексту из категорий, тегов и вики, проиндексированных в эмбеддингах.
Обновил принудительный инструмент, как было предложено
Боюсь, что переупакованная модель 2023 года не подойдёт для наших целей. Кроме того, согласно официальной документации Ollama для этой модели, вызов инструментов поддерживается только через сырой API, а мы используем другой.
В целом, это неудачный выбор для AI Bot на сегодня.
Вместо этого используйте одну из следующих моделей:
Привет, @Falco, и спасибо за ваши вводные данные. Мы проверим и обновим вас дополнительно.
@Falco При включении LLM возникает ошибка 502. Ниже приведены логи:
Сообщение
Worker Unicorn получил сигнал USR2, указывающий на то, что он вот-вот истечёт по тайм-ауту; выводится трассировка стека для основного потока
config/unicorn.conf.rb:203:in `backtrace'
config/unicorn.conf.rb:203:in `block (2 levels) in reload'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `wait_readable'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `rbuf_fill'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:199:in `readuntil'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:209:in `readline'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:158:in `read_status_line'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:147:in `read_new'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2420:in `block in transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `catch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2384:in `request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:19:in `block in request_with_mini_profiler'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/mini_profiler/profiling_methods.rb:45:in `step'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:18:in `request_with_mini_profiler'
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:168:in `block in perform_completion!'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1632:in `start'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1070:in `start'
/var/www/di...
Трассировка стека
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `block in warn'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `block in dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `each'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `warn'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `public_send'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `block (2 levels) in ensure_logging_thread_running'
<internal:kernel>:187:in `loop'
/var/www/discourse/lib/signal_trap_logger.rb:37:in `block in ensure_logging_thread_running'
Установите провайдер OpenAI, если вы используете совместимый с OpenAI API Ollama.
Я уже пробовал провайдера openAI, но проблема всё ещё сохраняется.
Сообщение
Unicorn worker received USR2 signal indicating it is about to timeout, dumping backtrace for main thread
config/unicorn.conf.rb:203:in `backtrace'
config/unicorn.conf.rb:203:in `block (2 levels) in reload'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `wait_readable'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `rbuf_fill'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:199:in `readuntil'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:209:in `readline'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:158:in `read_status_line'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:147:in `read_new'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2420:in `block in transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `catch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2384:in `request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:19:in `block in request_with_mini_profiler'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/mini_profiler/profiling_methods.rb:45:in `step'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:18:in `request_with_mini_profiler'
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:168:in `block in perform_completion!'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1632:in `start'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1070:in `start'
/var/www/di...
Стек вызовов
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `block in warn'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `block in dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `each'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `warn'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `public_send'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `block (2 levels) in ensure_logging_thread_running'
<internal:kernel>:187:in `loop'
/var/www/discourse/lib/signal_trap_logger.rb:37:in `block in ensure_logging_thread_running'
Может ли ваш контейнер Discourse получить доступ к службе на порту 11434? Если служба работает на хосте, вам необходимо обеспечить возможность сетевого взаимодействия через границу контейнера.
Да, ранее я мог получить доступ к одной из моделей LLM через тот же порт, что и контейнер Discourse.
Не могли бы вы помочь с этим и подсказать минимальные требования к оперативной памяти, а также где запущена эта LLM?
Так что, возможно, это:
Это зависит от модели и размера контекста.
Привет, @Falco
Я успешно интегрировал языковую модель (LLM), описанную ниже. Однако в процессе запросов я столкнулся с проблемой: промпт не учитывает специфическое содержание моего форума. Вместо того чтобы опираться на соответствующие обсуждения и идеи внутри моего форума, модель генерирует ответы на основе уже имеющейся у неё информации. Какие шаги мне следует предпринять, чтобы исправить эту ситуацию и обеспечить эффективное использование уникального контента моего форума моделью?
Используемая LLM, как и рекомендовано ранее:
Пример:
@Falco,
Я исправил настройки выше, но результат остался прежним.
Мне нужно, чтобы мой бот формировал ответы на основе контента, хранящегося в моей базе знаний. Не могли бы вы предоставить подробные настройки, связанные с плагином ИИ и другими компонентами? Кроме того, необходимо ли выполнять какие-либо специфические команды внутри приложения для включения генерации с обогащением извлечения (RAG)?
@Falco, не могли бы вы проверить и дать обратную связь по вышеуказанному?
Включите отладку бота через «Разрешенные группы для отладки ИИ-бота» и проверьте, какие вызовы инструментов выполняет бот и каковы ответы.
@Falco Ниже приведены детали
Токены запроса: 1304
Токены ответа: 652
модель: gemma3:1b
сообщения:
0:
роль: system
содержание: Вы — полезный помощник Discourse.
Вы _понимаете_ и **генерируете** Markdown для Discourse.
Вы находитесь в сообщении на форуме Discourse.
Вы находитесь на форуме по адресу: https://faq.company.com
Название вашего сайта: company FAQ
Описание: company Community Portal
Участники этого разговора: Forum_Helper_bot, testuser
Текущая дата: 2025-12-02 08:36:27 UTC, с момента вашего обучения многое изменилось.
Вы обучались на СТАРЫХ данных, используйте поиск, чтобы получить актуальную информацию об этом форуме
При поиске старайтесь УПРОЩАТЬ поисковые запросы
Поиск в Discourse объединяет все термины с помощью оператора AND. Уменьшайте и упрощайте термины, чтобы найти больше результатов.
В этой среде у вас есть доступ к набору инструментов, которые вы можете использовать для ответа на вопросы пользователя.
Вы можете вызывать их следующим образом.
<function_calls>
<invoke>
<tool_name>$TOOL_NAME</tool_name>
<parameters>
<$PARAMETER_NAME>$PARAMETER_VALUE</$PARAMETER_NAME>
...
</parameters>
</invoke>
</function_calls>
Если вы хотите вызвать несколько функций в одном ответе, оберните несколько тегов <invoke>
bзафиксировать в одном <function_calls> блок.
- Всегда начинайте с вызовов инструментов, если их необходимо выполнить.
- Избегайте любых вежливых фраз перед вызовами инструментов, например: «Позвольте мне это проверить...» и т.д.
- НЕ кодируйте HTML-сущности в вызовах инструментов. При необходимости для кодирования можно использовать <![CDATA[...]]>.
Вот полный список доступных инструментов:
<tools>
<tool_description>
<tool_name>categories</tool_name>
<description>Выведет список категорий на текущем экземпляре Discourse; рекомендуется добавлять символ # перед названием категории</description>
<parameters>
</parameters>
</tool_description>
<tool_description>
<tool_name>search</tool_name>
<description>Выполнит поиск тем на текущем экземпляре Discourse; при выводе результатов всегда используйте ссылки на найденные темы</description>
<parameters>
<parameter>
<name>search_query</name>
<type>string</type>
<description>Конкретные ключевые слова для поиска, разделенные пробелами (исправляйте ошибки в написании, удаляйте служебные слова)</description>
<required>false</required>
</parameter>
<parameter>
<name>user</name>
<type>string</type>
<description>Фильтр результатов поиска по имени пользователя (указывайте только если пользователь явно запросил фильтрацию по пользователю)</description>
<required>false</required>
</parameter>
<parameter>
<name>order</name>
<type>string</type>
<description>Порядок сортировки результатов поиска</description>
<required>false</required>
<options>latest,latest_topic,oldest,views,likes</options>
</parameter>
<parameter>
<name>max_results</name>
<type>integer</type>
<description>Ограничение количества возвращаемых результатов (обычно рекомендуется оставить значение по умолчанию)</description>
<required>false</required>
</parameter>
<parameter>
<name>max_posts</name>
<type>integer</type>
<description>Максимальное количество постов в теме (темы с большим количеством сообщений)</description>
<required>false</required>
</parameter>
<parameter>
<name>tags</name>
<type>string</type>
<description>Список тегов для поиска. Используйте + для объединения по ИЛИ, запятую для объединения по И</description>
<required>false</required>
</parameter>
<parameter>
<name>category</name>
<type>string</type>
<description>Название категории для фильтрации</description>
<required>false</required>
</parameter>
<parameter>
<name>before</name>
<type>string</type>
<description>Только темы, созданные до указанной даты YYYY-MM-DD</description>
<required>false</required>
</parameter>
<parameter>
<name>after</name>
<type>string</type>
<description>Только темы, созданные после указанной даты YYYY-MM-DD</description>
<required>false</required>
</parameter>
<parameter>
<name>status</name>
<type>string</type>
<description>Поиск тем в определенном состоянии</description>
<required>false</required>
<options>open,closed,archived,noreplies,single_user</options>
</parameter>
</parameters>
</tool_description>
<tool_description>
<tool_name>read</tool_name>
<description>Прочитает тему или пост на этом экземпляре Discourse</description>
<parameters>
<parameter>
<name>topic_id</name>
<type>integer</type>
<description>Идентификатор темы для чтения</description>
<required>true</required>
</parameter>
<parameter>
<name>post_numbers</name>
<type>array</type>
<description>Номера постов для чтения (необязательно)</description>
<required>false</required>
<array_item_type>integer</array_item_type>
</parameter>
</parameters>
</tool_description>
<tool_description>
<tool_name>tags</tool_name>
<description>Выведет 100 самых популярных тегов на текущем экземпляре Discourse</description>
<parameters>
</parameters>
</tool_description>
</tools>
1:
role: user
name: testuser
content: Как исправить — пакет apt zliblg:i386 не существует
stream: true
stream_options:
include_usage: true
Ответ
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"Хорошо"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":","},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" да"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"вай"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"м"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" разобраться"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" с"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" \""},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"ошибкой"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" \"пакет"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" apt"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" z"},"finish_reason":null}]}
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data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664603,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" "},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664603,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"список"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664603,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" "},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664603,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"пакетов"},"finish_reason":null}]}
data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664603,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":":**"},"finish_reason":null}]}
Почему вы установили флажок «Отключить поддержку нативных инструментов (использовать инструменты на основе XML) (необязательно)» в конфигурации LLM? Gemma 3 поддерживает нативные инструменты.
Gemma3 1B слишком мал для надежного вызова инструментов; это модель, которая меньше моделей для встроенного оборудования или работы в браузере. Попробуйте хотя бы варианты 4B или 12B.
@Falco мы попробуем ещё раз с предоставленными входными данными и свяжемся с вами.