Fixes. Added base for LLAMA_index.

vectordb-create.py

@@ -0,0 +1,29 @@
+'''
+This script creates a vector database from texts with
+llama_index.
+'''
+import logging
+import sys
+from llama_index import (
+    GPTSimpleVectorIndex, 
+    GPTSimpleKeywordTableIndex, 
+    GPTListIndex, 
+    SimpleDirectoryReader
+)
+
+# Setup logging and configure basics
+logging.basicConfig(stream=sys.stdout, level=logging.INFO)
+logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
+
+
+# Data set load and create if not exists
+db_index = None
+if (not os.path.exists('trainingdata/sesa.json')):
+    logging.info('Creating database...')
+    db_documents = SimpleDirectoryReader('trainingdata/sesa').load_data()
+    db_index = GPTSimpleVectorIndex.from_documents(db_documents)
+    db_index.save_to_disk('trainingdata/sesa.json')
+
+if (db_index is None):
+    logging.info('Loading database...')
+    db_index = GPTSimpleVectorIndex.('trainingdata/sesa.json')