Add 89999999999999999

config.py

@@ -33,7 +33,7 @@ VOICE_LANGUAGE = os.environ.get("VOICE_LANGUAGE", "en-US")
 DEFAULT_VOICE_SPEED = float(os.environ.get("DEFAULT_VOICE_SPEED", "1.0"))
 
 # Embedding Model Configuration
-EMBEDDING_MODEL_NAME = os.environ.get("EMBEDDING_MODEL_NAME", "BAAI/bge-large-en-v1.5")  # Updated to use BGE model
+EMBEDDING_MODEL_NAME = os.environ.get("EMBEDDING_MODEL_NAME", "nomic-ai/nomic-bert-2048")
 EMBEDDING_SIZE = 768
 
 # Text Processing Configuration
@@ -44,7 +44,7 @@ CHUNK_OVERLAP = int(os.environ.get("CHUNK_OVERLAP", "200"))
 ALLOWED_ORIGINS = os.environ.get("ALLOWED_ORIGINS", "*").split(",") if os.environ.get("ALLOWED_ORIGINS") != "*" else ["*"]
 
 # LanceDB Configuration
-LANCEDB_PATH = os.environ.get("LANCEDB_PATH", "../agentic_chatbot/lancedb_data")
+LANCEDB_PATH = os.environ.get("LANCEDB_PATH", "./lancedb_data")
 
 # JWT Configuration
 JWT_SECRET_KEY = os.environ.get("JWT_SECRET_KEY")

lancedb_data_backup_20251002_184011/documents.lance/_transactions/1-3b5cfa32-c61a-42fb-a336-78b2b432c613.txn

@@ -0,0 +1 @@
+
$3b5cfa32-c61a-42fb-a336-78b2b432c613�

lancedb_data_backup_20251002_184011/mcp_servers.lance/_transactions/1-41867c36-223d-4439-b229-1df0329b6f7b.txn

@@ -0,0 +1 @@
+
$41867c36-223d-4439-b229-1df0329b6f7b�

lancedb_data_backup_20251002_184011/personas.lance/_transactions/1-87a8fd35-0dc2-43e2-9f80-637a21b8292c.txn

@@ -0,0 +1 @@
+
$87a8fd35-0dc2-43e2-9f80-637a21b8292c�

lancedb_data_backup_20251002_184011/rajasthan_documents.lance/_transactions/1-84b138a4-a65c-4e22-b14c-27e7146c1ce5.txn

@@ -0,0 +1 @@
+
$84b138a4-a65c-4e22-b14c-27e7146c1ce5�

lancedb_data_backup_20251002_184011/sessions.lance/_transactions/1-d3b0f76e-8f2d-494d-8372-4b572afac9a0.txn

@@ -0,0 +1 @@
+
$d3b0f76e-8f2d-494d-8372-4b572afac9a0�

rag_service.py

@@ -195,9 +195,10 @@ async def search_documents_async(query: str, limit: int = 5) -> List[Dict[str, A
     try:
         knowledge_bases = ["government_docs"]  # Default
         query_lower = query.lower()
-        if any(keyword in query_lower for keyword in ["rajasthan", "pension", "circular", "pay", "rules"]):
-            # Use separate table for Rajasthan documents
-            return await search_rajasthan_documents_async(query, limit)
+        # Temporarily disable Rajasthan documents table due to vector dimension mismatch
+        # if any(keyword in query_lower for keyword in ["rajasthan", "pension", "circular", "pay", "rules"]):
+        #     # Use separate table for Rajasthan documents
+        #     return await search_rajasthan_documents_async(query, limit)
         all_docs = []
         for kb in knowledge_bases:
             try: