feat: ✨ AI Powered enhanced queries to get better results

src/embedding.py

@@ -1,5 +1,6 @@
 import requests
 from langchain_core.embeddings import Embeddings
+
 from config_loader import load_config
 
 CFG = load_config()
@@ -37,7 +38,7 @@ class LocalLMEmbeddings(Embeddings):
 
         for i in range(0, len(texts), self.batch_size):
             batch = texts[i : i + self.batch_size]
-            print(f"🚀 Processing batch {(i // self.batch_size) + 1} (Size: {len(batch)})...")
+            # print(f"🚀 Processing batch {(i // self.batch_size) + 1} (Size: {len(batch)})...")
 
             batch_vectors = self._post_request(batch)
             all_embeddings.extend(batch_vectors)