Optimization#

Optimization Features#

  • Batch processing for efficiency:

    • Use a custom batch processing class to process documents in batches

    • Parallelizes the processing of documents

  • Separate process for context manager:

    • Prevents context manager from blocking the main process

    • Utilizes asynchronous processing to handle requests

Best Practices for Performance Optimization#

Document Processing#

  • Batch similar documents together for efficient processing

  • Use appropriate chunk sizes for optimal retrieval

  • Monitor system resources during document ingestion

  • Implement proper error handling and retry mechanisms

Query Optimization#

  • Use appropriate batch sizes for query processing

  • Implement caching for frequently accessed documents

  • Monitor query latency and optimize as needed

  • Use appropriate indexing strategies for your use case

Resource Management#

  • Monitor system resources (CPU, memory, disk usage)

  • Implement proper cleanup of temporary resources

  • Use appropriate timeouts for long-running operations

  • Scale services independently based on workload

Monitoring and Metrics#

  • Track key performance metrics:

    • Request latency

    • Document processing time

    • Error rates

    • System resource usage

  • Set up alerts for performance degradation

  • Regularly review and optimize based on metrics