The AskHandle Blog

How Can You Improve the Accuracy of RAG Search in an AI Solution?

Building a reliable Retrieval-Augmented Generation (RAG) system is important for creating accurate AI solutions. RAG combines the strengths of information retrieval with language models to provide better responses. However, getting consistently high accuracy requires careful setup and ongoing effort. This article outlines practical ways to improve the accuracy of RAG search operations.

Why does AI in programming tend to overcomplicate solutions and suggest unnecessary changes?

Programming is about solving problems efficiently. Developers aim for simple, clear, and effective code. But when AI tools are involved, the solutions often become more complex than needed, and the suggestions can seem unnecessary or confusing. This article explores why AI in programming tends to make things more complicated and how that impacts developers.

Why virtual telephone companies can sell so many phone numbers from different countries

Virtual telephone systems have become common tools for businesses that need flexible communication options. These systems allow companies to set up local or international phone numbers without owning physical lines in each country. This article explains how virtual phone numbers work and why companies like Twilio and Infobip can offer such a wide variety of numbers worldwide.

Why is AI search sometimes less accurate than a simple search?

When you are looking for a specific product on a website, you expect to find it quickly. You type in what you want, and the website shows you a list of items. For a long time, this process was straightforward. A simple search for red shoes would show you red shoes. Now, many sites are using artificial intelligence to help with searches. While this can sometimes be helpful, it can also lead to results that are not as accurate as the old-fashioned way. This article will explain why a direct search query can still be more reliable.

What is an iframe and Why Do We Use It?

An iframe is a simple tool in web development that can make websites more interactive and flexible. If you browse the internet daily, you have probably used a website with iframes, even without knowing it. This article will explain what an iframe is, how it works, and why web developers choose to use it.

Is FastAPI the Better Choice over Django for Your Next Python Project?

Choosing the right framework is critical in backend development. If you're working with Python and looking to build modern, high-performance APIs, FastAPI is gaining strong traction — but how does it stack up against the veteran Django? This article introduces FastAPI, shows a simple example, and then compares it to Django in terms of speed, architecture, and ideal use cases.

How to Build a Lead Generation Bot Without a Chatbot Builder

If you're building a serious product and want full ownership of your lead gen experience, building your own chatbot with a JSON-driven engine is a no-brainer. It’s lightweight, flexible, and future-proof — and once set up, can be just as easy to manage as any no-code tool.

Apple’s “Liquid Glass” is Here, and We Tried to Recreate It for the Web

Apple's Liquid Glass UI, unveiled at WWDC 2025, promises to redefine user interfaces with its stunning depth and responsiveness. As front-end developers, we immediately took on the challenge: how closely can we recreate this beautiful, dynamic effect using only HTML, CSS, and JavaScript on the web?

RAG vs. Search: Which AI Tool Should You Use to Find Information?

Ever wonder whether to use traditional search or a fancy AI like RAG for finding info? While RAG offers quick, conversational answers by synthesizing information, it's not always the best. For precise data like product IDs or prices, classic search is king because it points you directly to the source, ensuring accuracy. Use RAG for general questions and summaries, but stick to search when accuracy is non-negotiable!

RAG Systems and Document Limits: Is There a Ceiling?

Retrieval Augmented Generation (RAG) offers a powerful way to enhance large language models (LLMs) by providing them with external information. This approach directly addresses questions about context window limitations and the number of documents a system can handle. A frequent question for developers and businesses building AI applications is whether a practical limit exists for the number of documents RAG can search.

How Do Local Large Language Models Open New Opportunities for Privacy-Focused Businesses?

In recent years, large language models (LLMs) have become a significant part of many technology applications. These models can understand and generate human-like text, making tasks like customer service, content creation, and data analysis easier. But as these models grow more powerful, issues around privacy and data security also come into focus. This is where local large language models are starting to make a difference, creating fresh chances for businesses that prioritize privacy.

Why is AI Good for Employee Training?

Employee training is a key part of running a successful business. It helps workers learn new skills, stay updated with changes, and improve performance. Traditional training methods like classroom sessions or printed manuals can be time-consuming and sometimes ineffective. Artificial Intelligence (AI) offers a fresh way to improve training programs. It can make learning more engaging, flexible, and personalized. This article will explain why AI is beneficial for employee training.

What is an Enterprise AI Solution and What Does it Look Like?

Businesses today often seek ways to use artificial intelligence to improve their work. An enterprise AI solution is AI technology specifically built and used within a company to solve its unique problems and make its operations better. This is different from general AI tools you might find for personal use.

Roadmap to Build Your Own AI Coding Assistant Editor

Creating an AI-powered coding assistant editor means blending a robust text editor with intelligent AI capabilities. You'll be leveraging various coding tools and designing a seamless user experience. Here's how you can approach this exciting project.

Is AI a Great Coding Assistant?

Building applications once required a lot of specific knowledge and time. Today, AI tools are changing how people write code and create software. These tools make the work quicker and simpler for many.

Why Can’t LLMs Make Decisions for You?

Large Language Models (LLMs) are powerful tools that can generate text, answer questions, and provide suggestions. They have become popular for helping with many tasks. But when it comes to making decisions, they often fall short. LLMs tend to stop at offering advice or give random answers instead of making clear choices. This article explains why that happens.

What Are the Biggest Costs of Running a Large Language Model Locally?

Running a large language model (LLM) locally can be appealing for some organizations, but it also comes with significant costs. Without relying on cloud services, the expenses primarily fall into hardware, electricity, maintenance, and operational staff. This article breaks down the main costs involved in running an LLM locally.

Why Downloadable Large Language Models Can Be the Next Big Thing in AI

The arrival of downloadable large language models (LLMs) that run directly on personal devices or local servers is changing how AI can be used. Unlike cloud-based AI services, these local LLMs operate without needing constant internet access, giving users and businesses new levels of control, privacy, and flexibility. This shift opens up fresh opportunities for developers and companies to build smarter, faster, and more customized AI-powered solutions.

What Is an SDK and Why Do SaaS Services Offer Them?

Software development kits, or SDKs, are important tools for programmers. They help create applications faster and with less effort. SaaS companies often provide SDKs to make their services easier to use and integrate.

Are AI Agents the Next Frontier in Generative Artificial Intelligence?

AI agents are quickly emerging as the centerpiece of the next phase in generative artificial intelligence, drawing major investment from leading technology companies. Unlike earlier AI models that primarily generated content or answered questions, these agents are designed to perform complex tasks autonomously, requiring minimal human intervention.

What Is the New Frontline of AI Battle Between Major Economies?

The competition over AI between the United States and China has entered a critical new phase, marked by a shift from purely technological rivalry to a broader contest over global influence, standards, and digital infrastructure. This competition now extends far beyond the development of AI models alone, encompassing control over AI adoption, regulatory frameworks, and the architecture of worldwide digital ecosystems.

What Is the Context Window for the Latest LLMs and What If My Text Is Longer?

Large language models (LLMs) are growing in power, but they still have clear limits. One of these is their context window—the chunk of text or tokens they can handle at one time. This article explains what a context window is, which models support the largest ones, and what to do if your input is too long.

What You Need to Know Before Signing a Digital Contract

Digital contracts are everywhere—from employment offers and lease agreements to business deals. They’re fast, convenient, and legally enforceable—if used correctly. But before you click Sign, it's important to understand the legal and technical foundations that make digital signatures valid—and the risks you need to avoid.

Sleeping at the Office: A Sign of Strength or Strain?

There’s a persistent image of the zealous startup founder, fueled by coffee and determination, whose dedication is absolute. This often includes the romanticized notion of sleeping at the office. It's often presented as the ultimate sign of commitment, proof of dedication, and an indicator that the company, especially a startup, is thriving. But does sleeping at the office truly serve as good leadership? And does it truly impress investors or signal a healthy, growing company?

The Secret Life of AI System Prompts

Recently, the tech world buzzed with the revelation that Anthropic's Claude 3 model uses a system prompt estimated to be around 24,000 tokens long. For context, that's equivalent to approximately 22,600 words. Forget a single sentence; this is a meticulous, multi-page operating manual for an AI. So, why would an AI need such an exhaustive set of instructions, and what does it mean for performance, cost, and the way you interact with these powerful models? Let's explore.

What is an API Token?

Ever wonder how different online services talk to each other securely? Or how an app on your phone can pull data from a popular website without you logging in every single time? The answer often involves something called an API token.

The Real Feeling of Good Software

We use software for nearly everything these days – from waking up to winding down, it's there. The apps on our phones, the websites we visit, the programs on our computers. They’re tools. And like any tool, how they feel to use makes a huge difference.

How can a Large Language Model search through a SQL database?

Large Language Models are powerful tools that can interpret and create human-like text. A common question is whether these models can directly access and query information stored in a SQL database. The answer is yes, with the right approach and engineering setup.

When Fiction Meets Reality: Dan Brown’s Origin and the AI Future That’s Already Here

In Origin (2017), Dan Brown introduced Winston, an AI assistant with charm, wit, and startling independence. At the time, it felt like a futuristic fantasy. But in 2025, with tools like ChatGPT and generative AI transforming everyday life, Winston seems eerily familiar. So how close is today's AI to Brown’s fictional vision?

What is Serverless Computing and How Does It Compare to Traditional Servers?

Developing web applications involves choosing how your code runs. Two popular methods are server-based hosting and serverless computing. This article will show you the differences, using Node.js projects on Heroku (server-based) and Vercel (serverless) as direct examples.

Do You Need a Website to Use an AI Chatbot?

Many people interested in creating or using AI chatbots wonder whether they must have a website to access or deploy these intelligent systems. The answer is no; you do not need a website to use an AI chatbot. There are several ways to interact with or deploy AI chatbots without a dedicated website. Let’s explore how you can do this and look at some simple code examples to understand the process better.

How Many Types of APIs Are There and What Are Their Differences?

When working with software development, you often hear the term API. APIs are a way for different software systems to communicate with each other. There are several types of APIs, each suited for different use cases. Understanding the common APIs protocols and how they differ can be very helpful in both development and choosing the right tool for your project. There are four main types of API protocols widely used today: REST, SOAP, GraphQL, and gRPC. Each has its own design principles, use cases, and strengths.

What is a REST API and Why Is It Useful?

When working with modern web applications, you often hear about APIs and how they help different software systems communicate. One of the most common types of APIs used today is called REST API. If you’re preparing for a tech interview or just want to understand how web services operate, understanding what a REST API is and why it’s useful can be very helpful.

What Types of Businesses Are Best Suited for Pay-Per-Click Advertising?

Pay-per-click (PPC) advertising is a popular online marketing strategy where businesses pay a fee each time their ad is clicked. It allows companies to appear prominently in search engine results or on social media platforms, targeting users actively searching for specific products or services. But which types of businesses benefit the most from PPC campaigns? Understanding this can help you prepare for tech interviews and craft effective digital marketing strategies.

What is Unsupervised Learning in AI?

Unsupervised learning is a type of machine learning where a computer system learns from data without being given specific instructions on what to look for. Unlike supervised learning, where models are trained on labeled data, unsupervised learning deals with data that has no pre-existing labels or categories. This allows the system to discover patterns, groupings, or structures in the data all on its own.