Shipgit add .

app.py

@@ -56,8 +56,10 @@ rag_prompt = ChatPromptTemplate.from_template("""\
 vectorstore = VectorStore(
   collection_name="mg_alloy_collection_snowflake",
 )
-#documents = VectorStore.load_chunks_as_documents("data/contextual_chunks")
-#vectorstore.add_documents(documents)
+if not os.path.exists("data/collections/collection"):
+  documents = VectorStore.load_chunks_as_documents("data/contextual_chunks")
+  vectorstore.add_documents(documents)
+  
 retriever = vectorstore.as_retriever(k=5)
 
 # ------- Pydantic Models ------- #

requirements.txt

@@ -1,10 +1,10 @@
 chainlit==0.7.700 
-langchain-huggingface==0.1.2
-langchain==0.3.19
-langchain_openai==0.3.7
-langchain_cohere==0.4.2
-langgraph==0.2.73
-qdrant-client==1.13.2
-langchain-qdrant==0.2.0
-fastembed==0.6.0
+langchain-huggingface
+langchain
+langchain_openai
+langchain_cohere
+langgraph
+qdrant-client
+langchain-qdrant
+fastembed
 grpcio==1.67.1