Retrieval-Augmented Generation (RAG) promises to combine external knowledge sources with the capabilities of large language models. In theory, the concept is simple: retrieve the right information, provide it to the model, and generate an answer. In practice, many implementations fail to deliver the expected results. The problem is rarely the model itself. It is rarely… more

Yii2 Development Over 10 years of experience building CRM systems, CSM platforms, online stores and PHP solutions Our Solutions CRM Customer relationship management systems tailored to your needs. Full control over sales and customer support. CSM Customer Success Management platforms for advanced customer support and increased satisfaction. E-Commerce Online stores built on Yii2 with complete… more

Multimodal RAG lets you search an image database with text or images, then generate intelligent responses. It combines three technologies: embedding model, vector database, and multimodal LLM. How the Landscape Changed in 7 Years Around 2019, we built data processing systems RAG with numpy, scikit-learn, RabbitMQ, and PostgreSQL. Today, the ecosystem shifted completely – instead… more

Popular Trend: Migration to Datadog In recent years, we’ve observed a clear uptick in companies migrating to Datadog. This trend is no longer limited to monitoring microservices infrastructure—serverless, VMs, and containers. More and more organizations want to expand Datadog to provide full observability coverage, including monitoring and alerting for entire data pipelines. One of the… more

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We’ve just launched a new offering dedicated to Incident Response for Magento 2 environments on OpenLiteSpeed and Linux VPS. The decision wasn’t random – we recently faced a serious security incident on our own infrastructure, and we want to share what we learned. What Happened? Malicious code infiltrated our VPS, establishing persistence – the ability… more

The legal industry faces a digital transformation challenge. Generative AI models offer tremendous potential – from automating document analysis to supporting legal opinion preparation. However, standard solutions like ChatGPT or public models carry risks that law firms cannot afford. A proprietary LLM/RAG system is the answer to these challenges. Why It’s Worth Investing in Your… more

I built my first RAG in 2019. The task was to create a product that worked like this: send a photo of clothing, the application suggests 10 most similar products and links to various stores. I needed to gather a database of stores, their products, and photos, then transform those images into vectors and embed… more