📅 2025-02-21 — Session: Evaluated and Enhanced Data Collection Strategies
🕒 21:00–23:20
🏷️ Labels: Data Collection, Retrieval, FAISS, Education, Langflow
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to evaluate and enhance strategies for data collection and organization, focusing on retrieval effectiveness, data quality, and thematic clustering for educational purposes.
Key Activities
- Conducted an analysis of retriever performance for geovisualization queries using FAISS, including filtering search results based on a distance threshold.
- Reviewed and refined keywords and phrases essential for data collection and organization, categorizing them into core concepts and challenges.
- Evaluated various passages and citations related to data collection, assessing their relevance and reliability for teaching and learning.
- Developed thematic clusters for organizing data collection and analysis topics, covering fundamentals, data types, and practical ingestion.
- Planned AI-assisted course syllabus structuring using LangFlow, outlining workflows for modular retrieval and curation pipelines.
Achievements
- Identified strengths and weaknesses in current data retrieval methods and suggested improvements for more focused discussions.
- Created a structured approach to organizing educational content using thematic clusters and AI-assisted workflows.
Pending Tasks
- Further refine data retrieval queries to enhance focus and clarity for specific educational objectives.
- Implement the LangFlow workflows for course design and evaluate their effectiveness in real-world teaching scenarios.