πŸ“… 2025-07-23 β€” Session: Optimized Text Embedding and Clustering Workflows

πŸ•’ 00:10–03:00
🏷️ Labels: Data Processing, Clustering, Embedding, Python, Optimization
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance various data processing workflows, focusing on error resolution, clustering techniques, and optimization of text embedding processes.

Key Activities

  • Resolved β€˜module tmap has no attribute LSHForest’ Error: Addressed package conflicts and provided integration instructions with LlamaIndex.
  • Explored Dendrogram-Style Structures: Evaluated methods for dendrogram-style clustering using HDBSCAN and SciPy.
  • Developed JSONL to Document Conversion Pipeline: Created a streamlined process for converting JSONL files to Markdown and organizing them based on cosine distance.
  • Analyzed Hierarchical Linkage: Discussed strategies for improving dendrogram clarity through filtering and clustering.
  • Managed Oversized Nodes in Embedding Pipeline: Implemented techniques to handle nodes exceeding token limits.
  • Generated Markdown Files for Clustering: Developed methods for concatenating notes and creating clustered reports.
  • Optimized Text Embedding with Caching: Introduced caching and hashing to optimize embedding processes.
  • Debugged Filename Matching with glob(): Provided solutions for handling non-ASCII characters in filenames.
  • Enhanced Persistence Layer for Embeddings: Improved data management using SQLite for node and daily embeddings.
  • Separated Ingest and Analysis Workflows: Structured data processing workflows to improve efficiency.
  • Transitioned from SQLite to ChromaDB: Evaluated the benefits of using ChromaDB for vector storage.

Achievements

  • Successfully resolved multiple technical challenges and optimized data processing workflows.
  • Improved efficiency in embedding processes and data management.

Pending Tasks

  • Further evaluation of ChromaDB for long-term vector storage solutions.
  • Continuous monitoring and refinement of the new processes implemented.