using memory for qdrant

.gitignore

@@ -2,3 +2,6 @@ wandb/
 .env
 __pycache__/data/qdrant/*
 *.sqlite
+__pycache__/*
+data/.lock
+data/qdrant

globals.py

@@ -14,7 +14,8 @@ embeddings  = OpenAIEmbeddings(model="text-embedding-3-small")
 DEFAULT_QUESTION1 = "What was the total value of 'Cash and cash equivalents' as of December 31, 2023?"
 DEFAULT_QUESTION2 = "Who are 'Directors' (i.e., members of the Board of Directors) for Meta?"
 
-VECTOR_STORE_PATH = "./data"
-META_10K_FILE_PATH = "./data/meta-10k-2023.pdf"
+ROOT_PATH = "./meta2023"
+VECTOR_STORE_PATH = f"{ROOT_PATH}/data/qdrant"
+META_10K_FILE_PATH = f"{ROOT_PATH}/data/meta-10k-2023.pdf"
 META_SEMANTIC_COLLECTION = "meta10k-semantic"
 

semantic.py

@@ -27,8 +27,8 @@ from globals import (
 )
 
 from qdrant_client import QdrantClient
-# qdrant_client = QdrantClient(path=VECTOR_STORE_PATH)
-qdrant_client = QdrantClient(":memory:")
+qdrant_client = QdrantClient(path=VECTOR_STORE_PATH)
+# qdrant_client = QdrantClient(":memory:")
 
 
 RAG_PROMPT = """