From d9c47bd983669f53c3bb2a6a1bc3654b219d325a Mon Sep 17 00:00:00 2001 From: lindaxia Date: Tue, 1 Jul 2025 18:06:49 +0800 Subject: [PATCH 1/3] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=E5=88=A0=E9=99=A4?= =?UTF-8?q?=E7=9F=A5=E8=AF=86=E5=BA=93=E6=B8=85=E7=A9=BA=E7=9B=B8=E5=85=B3?= =?UTF-8?q?=E8=A1=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../ruoyi/chat/service/knowledge/KnowledgeInfoServiceImpl.java | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/KnowledgeInfoServiceImpl.java b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/KnowledgeInfoServiceImpl.java index 4a048270..ea8cc367 100644 --- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/KnowledgeInfoServiceImpl.java +++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/knowledge/KnowledgeInfoServiceImpl.java @@ -179,13 +179,14 @@ public class KnowledgeInfoServiceImpl implements IKnowledgeInfoService { Map map = new HashMap<>(); KnowledgeInfo knowledgeInfo = baseMapper.selectById(id); check(knowledgeInfo); - map.put("kid",knowledgeInfo.getKid()); + map.put("kid",knowledgeInfo.getId()); // 删除向量数据 vectorStoreService.removeById(String.valueOf(knowledgeInfo.getId()),knowledgeInfo.getVectorModelName()); // 删除附件和知识片段 fragmentMapper.deleteByMap(map); attachMapper.deleteByMap(map); // 删除知识库 + map.put("kid",knowledgeInfo.getKid()); baseMapper.deleteByMap(map); } From b4306289f0957b2cc549cc6653b0f6ed5c83f56a Mon Sep 17 00:00:00 2001 From: lindaxia Date: Tue, 1 Jul 2025 18:50:12 +0800 Subject: [PATCH 2/3] =?UTF-8?q?fix=20weaviate=E5=90=91=E9=87=8F=E5=BA=93?= =?UTF-8?q?=E6=A0=B9=E6=8D=AE=E6=95=B0=E6=8D=AE=E7=B1=BB=E8=BF=9B=E8=A1=8C?= =?UTF-8?q?=E5=88=A0=E9=99=A4?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../service/impl/VectorStoreServiceImpl.java | 21 +++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-) diff --git a/ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/VectorStoreServiceImpl.java b/ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/VectorStoreServiceImpl.java index 282c2b63..db17a580 100644 --- a/ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/VectorStoreServiceImpl.java +++ b/ruoyi-modules-api/ruoyi-knowledge-api/src/main/java/org/ruoyi/service/impl/VectorStoreServiceImpl.java @@ -10,6 +10,9 @@ import dev.langchain4j.store.embedding.EmbeddingMatch; import dev.langchain4j.store.embedding.EmbeddingSearchRequest; import dev.langchain4j.store.embedding.EmbeddingStore; import dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore; +import io.weaviate.client.Config; +import io.weaviate.client.WeaviateClient; +import io.weaviate.client.base.Result; import lombok.RequiredArgsConstructor; import lombok.SneakyThrows; import lombok.extern.slf4j.Slf4j; @@ -83,10 +86,20 @@ public class VectorStoreServiceImpl implements VectorStoreService { @Override - public void removeById(String id, String modelName) { - createSchema(id, modelName); - // 根据条件删除向量数据 - embeddingStore.remove(id); + @SneakyThrows + public void removeById(String id, String modelName) { + String protocol = configService.getConfigValue("weaviate", "protocol"); + String host = configService.getConfigValue("weaviate", "host"); + String className = configService.getConfigValue("weaviate", "classname"); + String finalClassName = className + id; + WeaviateClient client = new WeaviateClient(new Config(protocol, host)); + Result result = client.schema().classDeleter().withClassName(finalClassName).run(); + if (result.hasErrors()) { + log.error("失败删除向量: " + result.getError()); + throw new ServiceException("失败删除向量数据!"); + } else { + log.info("成功删除向量数据: " + result.getResult()); + } } /** From e58aeb5361d32d8e2767964bd72755d5db2380b8 Mon Sep 17 00:00:00 2001 From: lindaxia Date: Wed, 2 Jul 2025 11:04:35 +0800 Subject: [PATCH 3/3] =?UTF-8?q?=E6=9B=B4=E6=96=B0README.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index e7256341..3983a78c 100644 --- a/README.md +++ b/README.md @@ -135,8 +135,9 @@ #### 1. 全栈式开源系统 - 全套开源系统：提供完整的前端应用、后台管理,基于MIT协议，开箱即用。 #### 2. 本地化 RAG 方案 -- 基于 **Langchain4j** 框架，支持 Milvus/Weaviate/Qdrant 向量库，结合 BGE-large-zh-v1.5 本地向量化模型 实现高效文档检索与知识库构建。 -- 支持 本地 LLM 接入，结合私有知识库实现安全可控的问答系统，避免依赖云端服务的隐私风险。 +- 基于 **Langchain4j** 框架，支持 Milvus/Weaviate/Qdrant 向量库，结合 BGE-large-zh-v1.5 本地向量化模型 实现高效文档检索与知识库构建。 +- 支持 本地 LLM 接入，结合私有知识库实现安全可控的问答系统，避免依赖云端服务的隐私风险。 +- 支持 ollama、vLLm等平台部署模型。 #### 3. 多模态 AI 引擎与工具集成 - 智能对话：支持 OpenAI GPT-4、Azure、ChatGLM 等主流模型，内置 SSE/WebSocket 协议实现低延迟交互，兼容 **扣子**、**DIFY** 等平台 API 调用。 - **Spring AI MCP** 支持：通过注解快速定义本地工具，支持调用 MCP 广场 的海量 MCP Server 服务，扩展模型能力边界。