📅 2025-02-07 — Session: Enhanced AI Workflow with LangGraph and ChunkManager
🕒 13:55–17:10
🏷️ Labels: Langgraph, Chunkmanager, Ai Workflows, Book Drafting, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance AI workflows by integrating LangGraph for stateful, multi-actor applications and optimizing chunk processing for book drafting.
Key Activities
- Graph-Based Prompt Engineering: Explored principles and pipeline abstraction for LLM workflows.
- Workflow Models: Developed models for task automation, emphasizing modularity and human oversight.
- Storage Strategy Optimization: Differentiated VectorDB for AI retrieval and local storage for human-readable content.
- Workflow Step Mapping: Mapped workflow steps to input/output directories for file management.
- Agentic vs. Non-Agentic Tasks: Proposed restructuring AI roles for better efficiency.
- LangGraph Integration: Integrated LangGraph into systems for managing stateful applications.
- Book Drafting Workflow: Implemented a structured approach using LangGraph for book drafting.
- ChunkManager Integration: Enhanced structured chunk management in book drafting workflows.
Achievements
- Successfully integrated LangGraph for managing stateful applications.
- Enhanced chunk processing workflows with LangGraph and ChunkManager.
- Proposed and planned a modular book-writing workflow using StateGraph.
Pending Tasks
- Further exploration of LangGraph capabilities for chunk processing.
- Finalize the integration of AI chunk processing in book drafting workflows.