Enhanced Prompt and Vector Management Systems

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📅 2025-02-03 — Session: Enhanced Prompt and Vector Management Systems

🕒 18:50–20:45
🏷️ Labels: Promptmanager, Vectorstoremanager, Ai Workflows, Debugging, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the management systems for prompts and vectors, focusing on improving efficiency, scalability, and integration within AI workflows.

Key Activities

  • Defined and outlined the responsibilities and API design for the VectorStoreManager to handle vector retrieval, storage, and indexing.
  • Developed the PromptManager framework to manage AI prompts, including features for dynamic parameters, versioning, and customization.
  • Integrated PromptManager into the RAG pipeline for improved AI workflow execution.
  • Refactored VectorStoreManager to use a VectorStore class for better encapsulation and scalability.
  • Merged the CRAG class into VectorStoreManager to enhance retrieval capabilities using FAISS.
  • Debugged and fixed multiple errors related to prompt formatting and vector management, including KeyError and AttributeError issues.

Achievements

  • Successfully outlined and partially implemented enhanced management systems for both prompts and vectors.
  • Improved error handling and debugging processes for prompt and vector management.

Pending Tasks

  • Complete the full implementation of the enhanced VectorStoreManager and PromptManager systems.
  • Further test and refine the integration of these systems into existing workflows.

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