feat: Implement Pinecone vector store integration

- Update config.py with Pinecone settings and model configurations
- Implement VectorStore class with Pinecone backend
- Add comprehensive vector operations (add, search, delete)
- Set up proper error handling and metadata management
- Add .gitignore for Python project

data/style_guidelines/brand_guidelines.json

@@ -0,0 +1,24 @@
+{
+    "tone": "professional yet approachable",
+    "voice": "confident and authoritative",
+    "key_phrases": [
+        "expert guidance",
+        "proven results",
+        "industry leader",
+        "trusted advisor"
+    ],
+    "avoided_phrases": [
+        "guaranteed",
+        "best ever",
+        "number one",
+        "cheap",
+        "discount"
+    ],
+    "brand_values": [
+        "expertise",
+        "trust",
+        "professionalism",
+        "innovation",
+        "client success"
+    ]
+} 

data/style_guidelines/tone_keywords.json

@@ -0,0 +1,42 @@
+{
+    "professional": [
+        "expert",
+        "professional",
+        "industry",
+        "experience",
+        "qualified",
+        "specialist",
+        "consultant",
+        "advisor"
+    ],
+    "approachable": [
+        "friendly",
+        "helpful",
+        "understand",
+        "support",
+        "assist",
+        "guide",
+        "partner",
+        "collaborate"
+    ],
+    "confident": [
+        "proven",
+        "success",
+        "expertise",
+        "results",
+        "achievement",
+        "accomplishment",
+        "track record",
+        "demonstrated"
+    ],
+    "authoritative": [
+        "leading",
+        "premier",
+        "trusted",
+        "established",
+        "recognized",
+        "respected",
+        "industry standard",
+        "benchmark"
+    ]
+}