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, Error Resolution, Integration
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the management systems for prompts and vectors, focusing on scalability, error resolution, and integration into AI workflows.

Key Activities

  • Defined responsibilities and API design for the VectorStoreManager, focusing on efficient vector retrieval and storage.
  • Outlined the functionality of PromptManager, including dynamic parameter handling and versioning.
  • Integrated PromptManager into the RAG pipeline to enhance AI workflows.
  • Refactored VectorStoreManager for better structure and scalability, transitioning from dictionary to class-based design.
  • Unified CRAG with VectorStoreManager to improve data retrieval capabilities using FAISS.
  • Resolved multiple errors including AttributeError and KeyError in both vector and prompt management systems.
  • Debugged issues related to malformed context in FAISS retrieval and prompt formatting.

Achievements

  • Established a scalable framework for prompt and vector management.
  • Improved error handling techniques for both systems.
  • Successfully integrated prompt management into the RAG pipeline.

Pending Tasks

  • Further testing of the integrated systems to ensure robustness.
  • Additional refactoring of code to enhance maintainability and efficiency.

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