Blog

Softlandia's team is a prominent contributor in open-source communities. These contributions are a testament to our capability to deliver outstanding value in software, AI, algorithms, and signal processing.

Learn how to deploy and secure Qdrant on Azure with App Service authentication, allowing safe interaction from any environment. With Python examples!

Deploy Qdrant to Azure with HTTP/2 and gRPC and access it asynchronously via a singleton instance of the Qdrant client via FastAPI dependency injection.

Here we give a roadmap to creating an effective NLP service, and list some of our favourite tools.

Discover how the rise of Applied AI Engineers is reshaping the AI development landscape, bridging the gap between cutting-edge AI capabilities and practical, real-world applications for businesses.

On February 16th, Softlandia and Bytewax ran an engaging online workshop designed to introduce the basics of incorporating AI into Slackbots.

Small language models are one of the biggest trends in GenAI in 2024. They can be already run for free on serverless platforms!

In this blog post, we take a look at stateful stream processing technologies for Python. All code is made available.

In this blog post, we’ll give a practical tutorial to building your own LLM-based applications. Specifically, we’ll build an AI application that uses your private data to perform tasks.

In this blog post, we'll show how to use Metaflow to write production-grade data science workflows.

In this blog post, we’ll show how to progress with Metaflow when you want to start utilizing the cloud. We’ll use open source software in the Azure cloud to boost our productivity.

In this blog post, we show how to automate data processing pipelines with Metaflow in Azure using Argo Workflows!

If you are still using Python 2, it's time to make the switch to Python 3. By continuing to use Python 2, you are missing out on important updates and support, and your applications may become vulnerable to security risks.

Python is the ideal language for creating high-quality, scalable, and reliable hardware testing solutions. Our team has decades of experience in the field and has successfully developed custom Python-based test systems for a wide range of hardware.