6 Commits

Author	SHA1	Message	Date
vinland100	6b37b8a7f9	feat: Add markdown language support, ensure file-level chunks for non-empty but un-splittable files, and improve robustness of embedding service and API key initialization.	2026-01-06 17:23:34 +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	6abede99f4	feat: enhance embedding dimension detection with Qwen support and expand RAG index rebuild triggers.	2025-12-31 17:14:08 +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
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