Commit Graph

11 Commits

Author SHA1 Message Date
vinland100 14b75beb9c Adjust the number of concurrent requests according to the number of workers.
Build and Push CodeReview / build (push) Waiting to run Details
2026-01-08 18:40:23 +08:00
vinland100 f743357bd7 feat: Add extensive language support for code splitting, scanning, and vulnerability detection by expanding file extensions, Tree-sitter node types, vulnerability patterns, and exclusion rules. 2026-01-06 15:18:38 +08:00
vinland100 969d899476 feat: Enhance embedding service with concurrency control, dynamic batching, and retry logic, and improve indexer with concurrent, incremental file processing. 2026-01-06 14:50:30 +08:00
vinland100 23ac263d76 feat: Enhance RAG embedding dimension handling, add Qwen3 support, and improve index rebuild logic 2026-01-04 11:28:58 +08:00
vinland100 4aea8ee7a9 feat: Enhance embedding service configuration and add CI pipeline retry logic for dimension mismatches with optional index rebuild. 2025-12-31 17:11:27 +08:00
ArcueId e06126482c perf(rag): 优化嵌入服务性能并改进批处理大小配置
- 优化本地嵌入服务(Ollama)性能,移除不必要的延迟
- 改进批处理大小配置,使用动态获取替代硬编码
- 保持云端服务的限流逻辑不变
2025-12-28 10:15:58 +08:00
lintsinghua 4d7abae245 feat(embedding): 支持 OpenAI 兼容 API 并增强错误处理
- 更新 OpenAI 提供商描述以支持兼容 API 服务商
- 前端添加兼容 API 使用引导说明
- 后端 QwenEmbedding 添加 API 密钥验证和错误处理
2025-12-19 16:37:39 +08:00
w1_liamby d827ab8b03 [feat] 添加 qwen 嵌入模型提供商 2025-12-19 15:14:39 +08:00
lintsinghua e0689245de feat(RAG): 添加嵌入进度显示和取消支持
为RAG索引过程添加嵌入进度回调功能,支持实时显示嵌入向量生成进度
新增取消检查机制,允许用户取消长时间运行的嵌入操作
更新前端依赖版本以保持兼容性
2025-12-16 18:41:30 +08:00
lintsinghua 17889dceee feat(retriever): 添加自动适配不同 embedding 配置的功能
支持自动检测 collection 的 embedding 配置并动态创建对应的 embedding 服务
新增从向量维度推断配置的功能,兼容旧的 collection
2025-12-16 15:28:03 +08:00
lintsinghua 9bc114af1f feat(agent): implement Agent audit module with LangGraph integration
- Introduce new Agent audit functionality for autonomous code security analysis and vulnerability verification.
- Add API endpoints for managing Agent tasks and configurations.
- Implement UI components for Agent mode selection and embedding model configuration.
- Enhance the overall architecture with a focus on RAG (Retrieval-Augmented Generation) for improved code semantic search.
- Create a sandbox environment for secure execution of vulnerability tests.
- Update documentation to include details on the new Agent audit features and usage instructions.
2025-12-11 19:09:10 +08:00