Neura AI v0.3.2 - Improved Context Management and NLP Integration to Purge Context

This update focuses on enhancing the functionality and reliability of the context management system.

Overview

This update focuses on enhancing the functionality and reliability of the context management system. Key features include the integration of the purge context, purge manager, and purge triggers, along with improvements in logging and error handling.

New Features and Natural Language Processing Integrations

1. Purge Context Integration:

   • Added functionality to purge chat history based on user and session IDs.

   • Implemented logging to capture what data was purged for verification.

2. Purge Manager Integration:

   • Centralized management for purging operations, allowing for coordinated and systematic purging of chat histories.

3. NLP integration to Purge Triggers:

   • Natural language processing to identify triggers to initiate purging based on specific conditions or patterns such as clear chat, or clear history among many other keywords ensuring that unnecessary data is cleaned up promptly.

Improvements

1. Logging Enhancements:

   • Detailed logging for all operations, including what data is purged, to provide better transparency and debugging capabilities.

   • Enhanced error handling to capture and log unexpected errors during purge operations.

2. Code Optimization:

   • Refactored the chat history storage and retrieval functions to ensure better performance and reliability.

   • Consolidated the initialization of the Supabase client to avoid redundancy and potential errors.

Detailed Changes

1. Purge Chat History Function:

   • Function to purge chat history now retrieves and logs the data before deletion.

   • Improved error handling to manage Supabase errors and other exceptions.

2. Store and Retrieve Chat History:

   • Updated functions to handle cleaning and deduplication of chat history more efficiently.

   • Added embedding generation for chat history storage and retrieval based on similarity.

3. Supabase Client Initialization:

   • Centralized the creation and management of the Supabase client to ensure consistent and reliable connections.

Example Usage

• Storing Chat History:

  • Generate embeddings for the chat messages.

  • Store the chat history along with embeddings in the Supabase database.

• Retrieving Chat History:

  • Retrieve chat history based on specific criteria such as date, keywords, or embedding similarity.

  • Ensure retrieved data is cleaned and deduplicated.

• Purging Chat History with NLP:

  • Retrieve and log chat history before purging.

  • Purge chat history for specified user and session IDs based on specific keywords NLP, such as 'clear chat', 'let's restart fresh', 'purge context', and 'clear history' among many others.

Conclusion

The FANA LLM v0.3.2 update significantly enhances the system's capability to manage and purge chat history efficiently. With improved logging, error handling, and the integration of new purge functionalities, this update ensures a more robust and reliable performance.