- Ollama Cloud has no embedding endpoint, OpenRouter does
- text-embedding-3-small with dimensions=768 matches DB vector(768) column
- API_KEY_OPENROUTER env var is primary, DB provider is fallback
- Added dimensions parameter for text-embedding-3 models
- query_understanding.py: get API key/base_url/provider_type from ai_providers DB
- embedding.py: get API key from DB, pass db+tenant_id through call chain
- routes.py: pass db+tenant_id to llm_analyze_query and llm_aggregate_results
- search_engine.py: pass db+tenant_id to generate_embedding
- unified_search/jobs.py: pass db+tenant_id to generate_embedding
- Fix all default model names: ollama/deepseek-v4 -> ollama/deepseek-v4-flash
- Ollama Cloud has no embedding endpoint; embedding calls fail gracefully