Enhanced Prompt and Vector Management Systems

• Day: 2025-02-03
• Time: 18:50 to 20:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Promptmanager, Vectorstoremanager, Ai Workflows, Error Resolution, Integration

Description

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.

Evidence

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• event_ids: []