My RAG Chatbot works perfectly in localhost but loses all knowledge when deployed to Streamlit Cloud. The chatbot responds for questions that work fine locally.
What I’ve Tried
- Checking if ChromaDB initializes in deployment:
if os.environ.get('STREAMLIT_SHARING_MODE') == 'streamlit_app':
logger.info("Detected Streamlit deployment environment")
if os.path.exists(persist_directory):
# Backup and recreate logic
- Verifying all dependencies are correct in requirements.txt:
chromadb==0.4.22
langchain-chroma==0.1.0
pysqlite3-binary>=0.5.0
Questions
- Where should I store the ChromaDB files in Streamlit Cloud for persistence?
- Is there a way to initialize the knowledge base during deployment?
Relevant Code
The key part handling ChromaDB initialization:
# From retriever.py
try:
vectorstore = Chroma(
embedding_function=embeddings,
persist_directory=persist_directory,
client_settings=client_settings
)
except Exception as e:
logger.warning(f"Failed to initialize Chroma with existing DB: {e}")
Environment
- Local: Works perfectly
- Deployment: Streamlit Cloud
- Python version: 3.9
- ChromaDB version: 0.4.22
- OS: MacOS Sequoia 15.3.1
Any help would be greatly appreciated!