-- ================================================================ -- Support Bot 数据库初始化脚本 -- 版本: 1.0 -- 说明: 创建智能客服系统所需的数据库表和索引 -- ================================================================ -- 检查并创建必要的扩展 CREATE EXTENSION IF NOT EXISTS "uuid-ossp"; CREATE EXTENSION IF NOT EXISTS vector; -- ================================================================ -- 聊天消息表 - 存储用户与AI的对话记录 -- ================================================================ DROP TABLE IF EXISTS chat_message CASCADE; CREATE TABLE chat_message ( id BIGSERIAL PRIMARY KEY, conversation_id VARCHAR(64) NOT NULL, message_type VARCHAR(20) NOT NULL, content TEXT NOT NULL, metadata JSONB NOT NULL DEFAULT '{}', create_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP NOT NULL, update_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP NOT NULL, is_delete BOOLEAN DEFAULT FALSE NOT NULL ); -- 添加表注释 COMMENT ON TABLE chat_message IS '聊天消息表 - 存储用户与AI助手的对话历史'; -- 添加字段注释 COMMENT ON COLUMN chat_message.id IS '主键ID - 自增长整型'; COMMENT ON COLUMN chat_message.conversation_id IS '会话ID - 标识同一次对话的唯一标识符'; COMMENT ON COLUMN chat_message.message_type IS '消息类型 - USER(用户消息)/ASSISTANT(AI回复)/SYSTEM(系统消息)'; COMMENT ON COLUMN chat_message.content IS '消息内容 - 实际的对话文本内容'; COMMENT ON COLUMN chat_message.metadata IS '元数据 - 存储消息的额外信息(JSON格式)'; COMMENT ON COLUMN chat_message.create_time IS '创建时间 - 消息创建的时间戳'; COMMENT ON COLUMN chat_message.update_time IS '更新时间 - 消息最后更新的时间戳'; COMMENT ON COLUMN chat_message.is_delete IS '删除标志 - false:未删除, true:已删除(逻辑删除)'; -- 创建索引 CREATE INDEX idx_chat_message_conversation_id ON chat_message (conversation_id); CREATE INDEX idx_chat_message_create_time ON chat_message (create_time DESC); CREATE INDEX idx_chat_message_type ON chat_message (message_type); CREATE INDEX idx_chat_message_not_deleted ON chat_message (conversation_id, create_time) WHERE is_delete = FALSE; -- 添加约束 ALTER TABLE chat_message ADD CONSTRAINT chk_message_type CHECK (message_type IN ('USER', 'ASSISTANT', 'SYSTEM')); -- ================================================================ -- 向量存储表 - 存储文档向量和元数据用于RAG检索 -- ================================================================ DROP TABLE IF EXISTS vector_store CASCADE; CREATE TABLE vector_store ( id UUID DEFAULT uuid_generate_v4() PRIMARY KEY, content TEXT NOT NULL, metadata JSONB NOT NULL DEFAULT '{}', embedding VECTOR(1024) NOT NULL, create_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP NOT NULL, update_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP NOT NULL ); -- 添加表注释 COMMENT ON TABLE vector_store IS '向量存储表 - 存储文档内容的向量表示用于语义搜索'; -- 添加字段注释 COMMENT ON COLUMN vector_store.id IS '主键ID - UUID格式的唯一标识符'; COMMENT ON COLUMN vector_store.content IS '文档内容 - 原始的文本内容'; COMMENT ON COLUMN vector_store.metadata IS '元数据 - 文档的附加信息(来源、标题、标签等)'; COMMENT ON COLUMN vector_store.embedding IS '向量嵌入 - 1024维的向量表示(适配Embedding模型)'; COMMENT ON COLUMN vector_store.create_time IS '创建时间'; COMMENT ON COLUMN vector_store.update_time IS '更新时间'; -- 创建向量索引 (HNSW索引用于高效的向量相似度搜索) CREATE INDEX idx_vector_store_embedding ON vector_store USING hnsw (embedding vector_cosine_ops) WITH (m = 16, ef_construction = 64); -- 创建其他索引 CREATE INDEX idx_vector_store_create_time ON vector_store (create_time DESC); CREATE INDEX idx_vector_store_metadata ON vector_store USING gin (metadata);