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Hybrid RAG: Boosting RAG Accuracy

Dense vector search is excellent at capturing semantic intent, but it often struggles with queries that demand high keyword accuracy. To quantify this gap, we benchmarked a standard dense-only retriever against a hybrid RAG system that incorporates SPLADE sparse vectors.

Sep 12 min read

Best Design to Code Tools Compared: Detailed Analysis

The design to code landscape has transformed with AI-powered tools promising to bridge the gap between visual design and production-ready code. With 82% of developers now using AI coding assistants daily or weekly, the demand for effective design-to-code solutions has never been higher.

Aug 135 min read

Benchmark 30 Finance LLMs: GPT-5, Gemini 2.5 Pro & more

Large language models (LLMs) are transforming finance by automating complex tasks such as risk assessment, fraud detection, customer support, and financial analysis. Benchmarking finance LLM can help identify the most reliable and effective solutions.

Sep 239 min read

Benchmark of Top 14 AI Excel Tools to Boost Productivity

79% of companies report that they’ve already adopted AI agents, and two-thirds of those users say these agents have boosted productivity in measurable ways. We test and compare 14 AI Excel tools to see how they perform. Results show Claude Max emerged as the top performer, scoring high in both accuracy and capabilities.

Sep 245 min read

AI Agents vs Agentic AI Systems

Adapted from There’s been a lot of buzz around the terms “AI agents” and “Agentic AI systems” lately. While they’re often used interchangeably, they actually refer to slightly different concepts.

Aug 124 min read

10 AI Coding Challenges I Face While Managing AI Agents

From what I have observed, AI agents are particularly helpful during the exploratory phases of work, assisting with implementations or outlining potential approaches.  However, they fall short in contexts that require consistent judgment or strategic reasoning. Below, I outlined the most common AI coding challenges. Click the links to jump to each section: [aim_list] 1.

Aug 139 min read

How to Design an AI Infrastructure & Key Components

AI infrastructure is the foundation of current AI applications, combining specialized hardware, software, and operating methods to meet AI needs. Businesses across various industries utilize it to integrate AI into products and processes, such as chatbots (e.g., ChatGPT), facial/speech recognition, and computer vision.

Aug 124 min read

AI Financial Analyst Solutions: Best Way to Maximize Efficiency

AI-powered tools have already outperformed human expertise in predictive analytics. Building on this trend, we test leading AI financial analysts, review their use cases and benefits, and examine the challenges of using AI-based financial analysis tools. Top AI financial analyst solutions * The prices for the basic versions of the tools are provided.

Sep 307 min read

How ACP Enables Interoperable Agent Communication?

We’re starting to see GenAI move toward standardization, similar to how HTTP transformed the internet in the early 1990s. Just as HTTP enabled the rise of the World Wide Web, new protocols are emerging.

Aug 305 min read

Optimizing Agentic Coding: How I use Claude Code

AI coding tools have become indispensable for many tasks. In our tests, popular AI coding tools like Cursor have been responsible for generating over 70% of the code required for tasks. With AI agents still being relatively new, I observed some useful patterns in my workflow that I want to share.

Aug 237 min read