Update ChromaAgenticRAG.py

ChromaAgenticRAG.py

@@ -15,7 +15,7 @@ from langchain.tools.retriever import create_retriever_tool
 import json
 from langchain.vectorstores import Chroma
 from langchain.embeddings import HuggingFaceEmbeddings
-
+from langchain.schema import Document
 
 load_dotenv()
 
@@ -145,8 +145,13 @@ sys_msg = SystemMessage(content=system_prompt)
 
 embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")
 
-# Convert json_QA into LangChain Documents
-from langchain.schema import Document
+with open('metadata.jsonl', 'r') as jsonl_file:
+    json_list = list(jsonl_file)
+
+json_QA = []
+for json_str in json_list:
+    json_data = json.loads(json_str)
+    json_QA.append(json_data)
 
 documents = []
 for sample in json_QA: