feat: 附件上传逻辑调整

ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/OpenAiVectorizationImpl.java

@@ -53,7 +53,7 @@ public class OpenAiVectorizationImpl implements VectorizationService {
         ChatModelVo chatModelVo = chatModelService.selectModelByName(knowledgeInfoVo.getVectorModel());
         String apiHost= chatModelVo.getApiHost();
         String apiKey= chatModelVo.getApiKey();
-        openAiStreamClient = chatConfig.createOpenAiStreamClient(apiHost,apiKey);
+        openAiStreamClient = ChatConfig.createOpenAiStreamClient(apiHost,apiKey);
         Embedding embedding = buildEmbedding(chunkList, knowledgeInfoVo);
         EmbeddingResponse embeddings = openAiStreamClient.embeddings(embedding);
         // 处理 OpenAI 返回的嵌入数据

script/sql/update/updatdata20250407.sql

@@ -1,4 +1,4 @@
 INSERT INTO `chat_model` (`id`, `tenant_id`, `category`, `model_name`, `model_describe`, `model_price`, `model_type`, `model_show`, `system_prompt`, `api_host`, `api_key`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`) VALUES (1907575746601119746, '000000', 'vector', 'text-embedding-3-small', 'text-embedding-3-small', 0, '2', '0', NULL, 'https://api.pandarobot.chat/', 'sk-cdBlIaZcufccm2RaDe547cBd054d49C7B0782eCa72A0052b', 103, 1, '2025-04-03 07:27:54', 1, '2025-04-03 07:27:54', 'text-embedding-3-small');
-INSERT INTO `chat_model` (`id`, `tenant_id`, `category`, `model_name`, `model_describe`, `model_price`, `model_type`, `model_show`, `system_prompt`, `api_host`, `api_key`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`) VALUES (1907576007017066497, '000000', 'vector', 'quentinz/bge-large-zh-v1.5', 'bge-large-zh-v1.5', 0, '2', '0', NULL, 'https://api.pandarobot.chat/', 'cdBlIaZcufccm2RaDe547cBd054d49C7B0782eCa72A0052b', 103, 1, '2025-04-03 07:28:56', 1, '2025-04-03 07:28:56', 'bge-large-zh-v1.5');
+INSERT INTO `chat_model` (`id`, `tenant_id`, `category`, `model_name`, `model_describe`, `model_price`, `model_type`, `model_show`, `system_prompt`, `api_host`, `api_key`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`) VALUES (1907576007017066497, '000000', 'vector', 'quentinz/bge-large-zh-v1.5', 'bge-large-zh-v1.5', 0, '2', '0', NULL, 'http://127.0.0.1:11434/', 'cdBlIaZcufccm2RaDe547cBd054d49C7B0782eCa72A0052b', 103, 1, '2025-04-03 07:28:56', 1, '2025-04-03 07:28:56', 'bge-large-zh-v1.5');
 INSERT INTO `chat_model` (`id`, `tenant_id`, `category`, `model_name`, `model_describe`, `model_price`, `model_type`, `model_show`, `system_prompt`, `api_host`, `api_key`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`) VALUES (1907576806191362049, '000000', 'vector', 'nomic-embed-text', 'nomic-embed-text', 0, '2', '0', NULL, 'http://127.0.0.1:11434/', 'nomic-embed-text', 103, 1, '2025-04-03 07:32:06', 1, '2025-04-03 07:32:06', 'nomic-embed-text');
 INSERT INTO `chat_model` (`id`, `tenant_id`, `category`, `model_name`, `model_describe`, `model_price`, `model_type`, `model_show`, `system_prompt`, `api_host`, `api_key`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`) VALUES (1907577073490161665, '000000', 'vector', 'snowflake-arctic-embed', 'snowflake-arctic-embed', 0, '2', '0', NULL, 'http://127.0.0.1:11434/', 'snowflake-arctic-embed', 103, 1, '2025-04-03 07:33:10', 1, '2025-04-03 07:33:10', 'snowflake-arctic-embed');