Enrichment for llamaindex. It goes for a long time using local model, so better use external model not local, for EMBEDDING

services/rag/llamaindex/QWEN.md

@@ -91,10 +91,10 @@ This is a Retrieval Augmented Generation (RAG) solution built using LlamaIndex a
 - [x] Optional OpenAI embedding via OpenRouter (commented)
 
 ### Phase 4: Document Enrichment
-- [ ] Document loading module with appropriate loaders
-- [ ] Text splitting strategies implementation
-- [ ] Document tracking mechanism
-- [ ] CLI command for enrichment
+- [x] Document loading module with appropriate loaders
+- [x] Text splitting strategies implementation
+- [x] Document tracking mechanism
+- [x] CLI command for enrichment
 
 ### Phase 5: Retrieval Feature
 - [ ] Retrieval module configuration