📅 2025-03-05 — Session: Developed AI and Content Creation Workflows
🕒 18:40–23:20
🏷️ Labels: AI, Content Creation, Workflow, Langflow, FAISS, Networkx
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and refine workflows for AI-driven content creation and processing, focusing on scalability and integration of AI techniques.
Key Activities
- Content Creation Workflow: Established a framework for a scalable content creation workflow integrating human and AI efforts.
- AI Pipeline Breakdown: Detailed the steps for refining cluster-level data into structured articles.
- Langflow Architecture Design: Outlined design principles for Langflow architecture to enhance AI processing.
- Refined Langflow Workflow: Developed a workflow for processing macro clusters of blog posts.
- Non-LLM AI Approaches: Explored alternative methods for text consolidation and redundancy pruning.
- Clustering with FAISS: Implemented clustering of text data using FAISS and SBERT.
- Google Sheets Integration: Loaded Google Sheets data into Pandas for further processing.
- Graph Analysis with NetworkX: Built and analyzed graphs to visualize blog topic similarities.
- Data Aggregation Fixes: Resolved type mismatch issues in data aggregation using Pandas.
- Langflow CSV Integration: Integrated CSV data with Langflow for cluster development.
Achievements
- Developed a comprehensive content creation workflow.
- Enhanced AI pipeline for article structuring.
- Designed and refined Langflow architecture and workflows.
- Implemented clustering and graph analysis techniques.
Pending Tasks
- Further testing and optimization of the Langflow workflows.
- Exploration of additional non-LLM AI approaches for text processing.