📅 2025-02-17 — Session: Developed Graph-Based Search System with Cassandra

🕒 17:10–18:00
🏷️ Labels: Graph Search, Cassandra, NLP, Text Classification, Embeddings, Clustering
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to explore and enhance a graph-based search system integrated with Cassandra for efficient storage and retrieval of text chunks.

Key Activities

  • Reviewed the structure and functionality of a graph-based search system and its integration with Cassandra.
  • Proposed enhancements to the current data structure, focusing on robustness and the introduction of new analysis tables.
  • Discussed knowledge aggregation techniques to form coherent higher-level units.
  • Explored NLP techniques to transform annotations into a knowledge web.
  • Summarized state-of-the-art models in Hugging Face for text classification.
  • Planned a script for text chunk classification using embeddings and clustering.
  • Outlined a structured approach for text categorization using embeddings and clustering.

Achievements

  • Developed a comprehensive understanding of the graph-based search system and proposed enhancements.
  • Identified methods for knowledge aggregation and text categorization.

Pending Tasks

  • Implement the proposed enhancements to the data structure.
  • Develop and test the script for text chunk classification.
  • Further explore and integrate NLP techniques for building a knowledge web.