service 修改 Redis 存储 KV

ai-chat-service/dev.config.yaml

@@ -32,19 +32,10 @@ chat:
   bot_desc: "你是一个AI助手，我需要你模拟一名资深的软件工程师来回答我的问题"
   # 单次请求，保留的响应tokens数量
   min_response_tokens: 2048
-  # 上下文缓存时长，单位s
-  context_ttl: 1800
-  # 上下文消息条数
-  context_len: 4
 redis:
   host: "127.0.0.1"
   port: 8888
   pwd: "123456"
-mysql:
-  dsn: "root:root@tcp(127.0.0.1:3306)/ai_chat?collation=utf8mb4_unicode_ci&charset=utf8mb4"
-  maxLifeTime: 3600
-  maxOpenConn: 10
-  maxIdleConn: 10
 dependOn:
   sensitive:
     address: "localhost:50053"
@@ -54,49 +45,16 @@ dependOn:
     accessToken: "ang1chubdev1ozhome256487d22sapguuv1ozhom"
   tokenizer:
     address: "http://127.0.0.1:3002"
-vector:
-  # 向量后端：tencent / pgvector
-  provider: "pgvector"
-  # 历史问答命中阈值
-  threshold: 0.99
-  tencent:
-    url: "http://lb-4u4r1fk4-1ys6gv3rpmdan420.clb.ap-guangzhou.tencentclb.com:60000"
-    username: "root"
-    pwd: "YaUfVueWZJ20e4ghyLlBT8Dou5OapwpFTUq50oft"
-    database: "ai-chat"
-    timeout: 5
-    maxIdleConnPerHost: 2
-    readConsistency: "eventualConsistency"
-    idleConnTimeout: 60
-  pgvector:
-    dsn: "postgres://postgres:postgres@127.0.0.1:15432/ai_chat?sslmode=disable"
-    table: "chat_record_vectors"
-    dimensions: 1024
-    maxLifeTime: 3600
-    maxOpenConn: 10
-    maxIdleConn: 10
 embedding:
   provider: "openai-compatible"
   # 智谱 OpenAI 兼容网关；可被项目根目录 .env 覆盖
   base_url: "https://open.bigmodel.cn/api/paas/v4"
   # 默认故意设成错误值，真实 key 请放到项目根目录 .env
   api_key: "__INVALID_SET_AI_CHAT_EMBEDDING_API_KEY__"
-  # embedding-2 固定 1024 维，和当前 pgvector 表结构一致
   model: "embedding-2"
   timeout: 10
-vectorDB:
-  # 访问地址
-  url: "http://lb-4u4r1fk4-1ys6gv3rpmdan420.clb.ap-guangzhou.tencentclb.com:60000"
-  # 用户名
-  username: "root"
-  # 密码
-  pwd: "YaUfVueWZJ20e4ghyLlBT8Dou5OapwpFTUq50oft"
-  database: "ai-chat"
-  # 请求超时时长s
-  timeout: 5
-  # 最大空闲连接数
-  maxIdleConnPerHost: 2
-  # 读一致性： strongConsistency(强一致性)，eventualConsistency(最终一致性)
-  readConsistency: "eventualConsistency"
-  # 空闲连接超时时长s
-  idleConnTimeout: 60
+faiss:
+  base_url: "http://127.0.0.1:8451"
+  search_k: 1
+  similarity_threshold: 0.9
+  timeout: 10