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The vector database build pipeline can take several minutes to process causing problems with first chat interface (Chainlit) start up. Furthermore, separating the database build pipeline from the user query processing pipeline will simplify the application and will make possible future improvements.
The text was updated successfully, but these errors were encountered:
Update several different aspects across the chatbot:
- Add a stress test script and fix problems found through such testing
- Fix async problem with Llamaindex
- Improve async tracking database management by converting from SQLite to MongoDB
- Add server setup information
- Add script that handles environment setup and startup of RAG Chatbot
- Add export script to obtain CSV of tracking data in the MongoDB
- Add WIP script for #2
The vector database build pipeline can take several minutes to process causing problems with first chat interface (Chainlit) start up. Furthermore, separating the database build pipeline from the user query processing pipeline will simplify the application and will make possible future improvements.
The text was updated successfully, but these errors were encountered: