2495239187
Built-in AI chatbot (no EE, uses Llm::Resolver) that answers in-scope chats
from a knowledge base and hands off to a human when needed. Selected per
inbox via an Integrations::Hook with app_id 'chatbot'.
- Integrations::Chatbot::ProcessorService (mirrors Dialogflow/Captain)
wired via HookListener + HookJob + apps.yml(chatbot, inbox)
- Chatbot::DecisionService: 1-call default ({in_scope/refuse/handoff}),
2-call option; thread-safe prompt threading
- Chatbot::KnowledgeRetriever: keyword top-k over KB (+ embedding reserved)
- KnowledgeBaseFaq + import service (md per-heading + front-matter tags)
- Chatbot::ConfigService + admin chatbot_config endpoint
- refs off-topic (e.g. fortune-telling); handoff = bot_handoff! (pending->open)
35 lines
1.1 KiB
Ruby
35 lines
1.1 KiB
Ruby
# == Schema Information
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#
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# Table name: knowledge_base_faqs
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#
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# id :bigint not null, primary key
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# account_id :bigint not null
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# title :string not null
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# content :text not null
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# topic_tags :jsonb default: [] not null
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# source_filename :string
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# embedding :vector(1536)
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# created_at :datetime not null
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# updated_at :datetime not null
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#
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class KnowledgeBaseFaq < ApplicationRecord
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belongs_to :account
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# pgvector KNN support (matches repo pattern: has_neighbors + nearest_neighbors)
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has_neighbors :embedding, normalize: true
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validates :title, presence: true
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validates :content, presence: true
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# topic_tags stored as jsonb array; expose string-list helpers for import/retrieval.
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def topic_tag_list
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Array(topic_tags)
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end
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def topic_tag_list=(value)
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self.topic_tags = Array(value).map(&:strip).reject(&:blank?)
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end
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scope :for_account, ->(account) { where(account_id: account.id) }
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scope :with_embedding, -> { where.not(embedding: nil) }
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end
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