version : 1.0.0-M8
我导入了 spring-ai-starter-model-openai
和 spring-ai-vector-store
但是还是找不到 QuestionAnswerAdvisor
,我还需要导入什么依赖呢
Comment From: ai-srcflow
这个
Comment From: ai-srcflow
可以的
Comment From: Wyt-blog
可以的
OK呀,我刚刚导入的时候可能idea没刷新,现在好了,谢谢你
Comment From: markpollack
can someone explain what is going on here?
Comment From: Wyt-blog
can someone explain what is going on here?
I imported the wrong Maven dependency,This problem has now been solved
Comment From: jingbio
``` @Autowired public ChatController(ChatClient.Builder builder, VectorStore vectorStore, ChatMemory chatMemory) throws IOException { QuestionAnswerAdvisor questionAnswerAdvisor = QuestionAnswerAdvisor.builder(vectorStore) .searchRequest(SearchRequest.builder().topK(15).build()) .build(); this.chatClient = builder .defaultAdvisors( new MessageChatMemoryAdvisor(chatMemory) ,new PromptChatMemoryAdvisor(chatMemory) ,questionAnswerAdvisor ) .build(); }
@GetMapping(value = "/prompt", produces = "text/html;charset=utf-8")
public String query(String q) {
return this.chatClient
.prompt()
.advisors(am->am.params(Map.of(AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY,5)))
.user(q)
.call().content();
}
```我按照这种写法,模型拿不到我的问题是怎么回事?有遇到过吗?
Comment From: ai-srcflow
``` @Autowired public ChatController(ChatClient.Builder builder, VectorStore vectorStore, ChatMemory chatMemory) throws IOException { QuestionAnswerAdvisor questionAnswerAdvisor = QuestionAnswerAdvisor.builder(vectorStore) .searchRequest(SearchRequest.builder().topK(15).build()) .build(); this.chatClient = builder .defaultAdvisors( new MessageChatMemoryAdvisor(chatMemory) ,new PromptChatMemoryAdvisor(chatMemory) ,questionAnswerAdvisor ) .build(); }
@GetMapping(value = "/prompt", produces = "text/html;charset=utf-8") public String query(String q) { return this.chatClient .prompt() .advisors(am->am.params(Map.of(AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY,5))) .user(q) .call().content(); }
我按照这种写法,模型拿不到我的问题是怎么回事?有遇到过吗?
模型拿不到问题 是什么意思?
Comment From: ai-srcflow
``` @Autowired public ChatController(ChatClient.Builder builder, VectorStore vectorStore, ChatMemory chatMemory) throws IOException { QuestionAnswerAdvisor questionAnswerAdvisor = QuestionAnswerAdvisor.builder(vectorStore) .searchRequest(SearchRequest.builder().topK(15).build()) .build(); this.chatClient = builder .defaultAdvisors( new MessageChatMemoryAdvisor(chatMemory) ,new PromptChatMemoryAdvisor(chatMemory) ,questionAnswerAdvisor ) .build(); }
@GetMapping(value = "/prompt", produces = "text/html;charset=utf-8") public String query(String q) { return this.chatClient .prompt() .advisors(am->am.params(Map.of(AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY,5))) .user(q) .call().content(); }
我按照这种写法,模型拿不到我的问题是怎么回事?有遇到过吗?
你 prompt里面都没传q,你q传到user里干嘛?
return this.chatClient
.prompt(q) .advisors(am->am.params(Map.of(AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY,5))) .call().content();
写user里边可以的 不同的角色消息 都是可以的
你写user是作为user role
写prompt默认system提示词 都可以的
Comment From: jingbio
``` @Autowired public ChatController(ChatClient.Builder builder, VectorStore vectorStore, ChatMemory chatMemory) throws IOException { QuestionAnswerAdvisor questionAnswerAdvisor = QuestionAnswerAdvisor.builder(vectorStore) .searchRequest(SearchRequest.builder().topK(15).build()) .build(); this.chatClient = builder .defaultAdvisors( new MessageChatMemoryAdvisor(chatMemory) ,new PromptChatMemoryAdvisor(chatMemory) ,questionAnswerAdvisor ) .build(); }
@GetMapping(value = "/prompt", produces = "text/html;charset=utf-8") public String query(String q) { return this.chatClient .prompt() .advisors(am->am.params(Map.of(AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY,5))) .user(q) .call().content(); }
我按照这种写法,模型拿不到我的问题是怎么回事?有遇到过吗?
你 prompt里面都没传q,你q传到user里干嘛?
return this.chatClient
.prompt(q) .advisors(am->am.params(Map.of(AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY,5))) .call().content();
写user里边可以的 不同的角色消息 都是可以的 你写user是作为user role 写prompt默认system提示词 都可以的
理论来讲模型能够通过我的q参数(问题) 相似性搜索rag知识库,但是返回的结果似乎与q无关,都指向没有拿到q
Comment From: jingbio
更换了qwen2.5的模型后恢复正常使用。应该是不支持qwen3
Comment From: Wyt-blog
更换了qwen2.5的模型后恢复正常使用。应该是不支持qwen3
我用的这个向量模型,但是对话大模型用的qwen3
Comment From: jingbio
更换了qwen2.5的模型后恢复正常使用。应该是不支持qwen3
我用的这个向量模型,但是对话大模型用的qwen3
我的是bge-m3:latest, 1024v
Comment From: hedyvhan
更换了qwen2.5的模型后恢复正常使用。应该是不支持qwen3
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我用的这个向量模型,但是对话大模型用的qwen3
我的是bge-m3:latest, 1024v
我用的这个模型也不行,试了bge-m3:latest和qwen2.5都不行