Add LLM configuration and pipeline execution

src/rag/manager.py

@@ -12,8 +12,9 @@ from src.llm.processor import LLMProcessor
 
 
 class RAGManager:
-    def __init__(self, persist_dir: str = "data/rag_index"):
+    def __init__(self, persist_dir: str = "data/rag_index", llm_config: Optional[dict] = None):
         self.persist_dir = persist_dir
+        self.llm_config = llm_config or {}
         self.db = chromadb.PersistentClient(path=self.persist_dir)
         self.collection_name = "phb_collection"
 
@@ -110,7 +111,7 @@ class RAGManager:
         if not nodes:
             return []
 
-        processor = LLMProcessor()
+        processor = LLMProcessor(**self.llm_config)
 
         # Construct the context from retrieved nodes
         context_text = "\n\n".join(