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Drupal core committers look to remove support for Windows in production in Drupal 11

Drupal added support for IIS in 2010 and we have supported that and WAMP (Running Apache and PHP on Windows). Unfortunately, we have never been able to provide automated testing for these environments. And since 2010, the use of Microsoft products for hosting websites has declined. Because of this, the Drupal core committers propose drop support for Windows when used on production web sites in Drupal 11. Support for development on Windows will continue.

Source: RFC Remove support for Windows in production in Drupal 11

I didn’t know that IIS on Windows was still being used in production. I guess I need to get out more.

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Mountpoint for Amazon S3 – Generally Available and Ready for Production Workloads | AWS News Blog

Mountpoint for Amazon S3 is an open source file client that makes it easy for your file-aware Linux applications to connect directly to Amazon Simple Storage Service (Amazon S3) buckets. Announced earlier this year as an alpha release, it is now generally available and ready for production use on your large-scale read-heavy applications: data lakes, machine learning training, image rendering, autonomous vehicle simulation, ETL, and more. It supports file-based workloads that perform sequential and random reads, sequential (append only) writes, and that don’t need full POSIX semantics.

— Mountpoint for Amazon S3 – Generally Available and Ready for Production Workloads

 

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Notes on better search 8/18/2023

Goal: better, more focused search for www.cali.org.

In general the plan is to scrape the site to a vector database, enable embeddings of the vector db in Llama 2, provide API endpoints to search/find things.

Hints and pointers.

  • Llama2-webui – Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere
  • FastAPI – web framework for building APIs with Python 3.7+ based on standard Python type hints
  • Danswer – Ask Questions in natural language and get Answers backed by private sources. It makes use of
    • PostgreSQL – a powerful, open source object-relational database system
    • QDrant – Vector Database for the next generation of AI applications.
    • Typesense – a modern, privacy-friendly, open source search engine built from the ground up using cutting-edge search algorithms, that take advantage of the latest advances in hardware capabilities.

The challenge is to wire together these technologies and then figure out how to get it to play nice with Drupal. One possibility is just to build this with an API and then use the API to interact with Drupal. That approach also offers the possibility of allowing the membership to interact with the API too.

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Demystifying Text Data with the unstructured Python Library | Saeed Esmaili

In the world of data, textual data stands out as being particularly complex. It doesn’t fall into neat rows and columns like numerical data does. As a side project, I’m in the process of developing my own personal AI assistant. The objective is to use the data within my notes and documents to answer my questions. The important benefit is all data processing will occure locally on my computer, ensuring that no documents are uploaded to the cloud, and my documents will remain private.

To handle such unstructured data, I’ve found the unstructured Python library to be extremely useful. It’s a flexible tool that works with various document formats, including Markdown, , XML, and HTML documents.

Demystifying Text Data with the unstructured Python Library — https://saeedesmaili.com/demystifying-text-data-with-the-unstructured-python-library/

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