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: []