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MerCry 4b64a4dbf4 feat(AISVC-T6.9): 集成Ollama嵌入模型修复RAG检索问题 
## 问题修复
- 替换假嵌入(SHA256 hash)为真实Ollama nomic-embed-text嵌入
- 修复Qdrant客户端版本不兼容导致score_threshold参数失效
- 降低默认分数阈值从0.7到0.3

## 新增文件
- ai-service/app/services/embedding/ollama_embedding.py

## 修改文件
- ai-service/app/api/admin/kb.py: 索引任务使用真实嵌入
- ai-service/app/core/config.py: 新增Ollama配置,向量维度改为768
- ai-service/app/core/qdrant_client.py: 移除score_threshold参数
- ai-service/app/services/retrieval/vector_retriever.py: 使用Ollama嵌入
 		2026-02-24 22:15:53 +08:00
..
__init__.py feat(ai-service): implement LLM Adapter for T3.1 [AC-AISVC-02, AC-AISVC-06] 2026-02-24 13:19:38 +08:00
config.py feat(AISVC-T6.9): 集成Ollama嵌入模型修复RAG检索问题 2026-02-24 22:15:53 +08:00
database.py feat(ai-service): implement LLM Adapter for T3.1 [AC-AISVC-02, AC-AISVC-06] 2026-02-24 13:19:38 +08:00
exceptions.py feat(ai-service): implement LLM Adapter for T3.1 [AC-AISVC-02, AC-AISVC-06] 2026-02-24 13:19:38 +08:00
middleware.py feat(ai-service): implement LLM Adapter for T3.1 [AC-AISVC-02, AC-AISVC-06] 2026-02-24 13:19:38 +08:00
qdrant_client.py feat(AISVC-T6.9): 集成Ollama嵌入模型修复RAG检索问题 2026-02-24 22:15:53 +08:00
sse.py feat(ai-service): implement context merging for T3.2 [AC-AISVC-14, AC-AISVC-15] 2026-02-24 13:26:37 +08:00
tenant.py feat(ai-service): implement LLM Adapter for T3.1 [AC-AISVC-02, AC-AISVC-06] 2026-02-24 13:19:38 +08:00