> ## Documentation Index > Fetch the complete documentation index at: https://docs.neum.ai/llms.txt > Use this file to discover all available pages before exploring further. # Logs and Analytics > Learn how the Neum AI platform provides logs and analytics to see the performance of your pipelines The Neum AI platform tracks information across pipelines, files and users. These analytics provide high level observability as well as auditing capabilities. Captured data includes: * Data processing: What was processed? Was it successful? How long did it take? * File management: What files are available for search? What is their status? * File auditing: What files are being retrieved through search? * User auditing: What users are searching for information? What pipelines are they accessing and what files are they accessing within? You can opt-out of retrieval / search data capture by setting the track flag to `false` (default). No opt-out available for processing data captured during pipeline run. To access the captured data, use the provided [`NeumClient`](/platform-apis/neum-client). We have a sample [`Jupyter Notebook`](https://github.com/NeumTry/Neum-Analytics) showcasing the analytics provided.