Resolved Supabase ‘created_at’ Column Error and Enhanced Upload Logic
- Day: 2025-02-01
- Time: 17:00 to 17:40
- Project: Dev
- Workspace: WP 2: Operational
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Supabase, Python, Error Handling, Embeddings, Vectorstore
Description
Session Goal
The session aimed to resolve the ‘created_at’ column error in the Supabase ‘chunks’ table and enhance the error handling in file upload logic.
Key Activities
- Supabase Error Resolution: Followed a step-by-step guide to troubleshoot and fix the missing ‘created_at’ column error in the Supabase ‘chunks’ table. This involved checking the table structure, inspecting payloads, clearing caches, and debugging code.
- Enhanced Error Handling: Implemented a Python function to improve file upload logic to Supabase, focusing on graceful handling of warnings and critical errors.
- Embeddings and Metadata Management: Explored strategies for using embeddings in data retrieval and model training, focusing on metadata for context reconstruction.
- Vectorstore Management: Developed workflows for managing vectorstores in RAG workflows using FAISS and OpenAI tools.
Achievements
- Successfully resolved the ‘created_at’ column error in Supabase.
- Improved the Python file upload logic for better error handling.
- Gained insights into the use of embeddings and metadata in semantic search and model training.
- Established a workflow for managing vectorstores in RAG workflows.
Pending Tasks
- Further exploration of fine-tuning models with original text chunks versus embeddings.
- Optimization of vectorstore management processes for efficiency.
Evidence
- source_file=2025-02-01.sessions.jsonl, line_number=5, event_count=0, session_id=d6c95c5e9eec439e7fb9b8d449a1f607f4e7be2bd392e960c591dc5bcdeccc8f
- event_ids: []