Create config.py

config.py

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+import os
+
+# Model configuration
+EMBEDDING_MODEL = "sentence-transformers/all-MiniLM-L6-v2"
+EMBEDDING_DIM = 384
+
+# BM25 parameters
+BM25_K1 = 1.5
+BM25_B = 0.75
+
+# Search parameters
+DEFAULT_TOP_K = 5
+DEFAULT_VECTOR_WEIGHT = 0.6
+DEFAULT_BM25_WEIGHT = 0.4
+
+# Knowledge base files
+KNOWLEDGE_BASE_FILES = [
+    'knowledge_base/about.md',
+    'knowledge_base/research_details.md', 
+    'knowledge_base/publications_detailed.md',
+    'knowledge_base/skills_expertise.md',
+    'knowledge_base/experience_detailed.md',
+    'knowledge_base/statistics.md'
+]
+
+# File type mapping
+FILE_TYPE_MAP = {
+    'about.md': ('about', 10),
+    'research_details.md': ('research', 9),
+    'publications_detailed.md': ('publications', 8),
+    'skills_expertise.md': ('skills', 7),
+    'experience_detailed.md': ('experience', 8),
+    'statistics.md': ('statistics', 9)
+}
+
+# Device configuration
+def get_device():
+    import torch
+    return "cuda" if torch.cuda.is_available() else "cpu"