Retrieval-Augmented Generation, commonly called RAG, allows AI applications to answer questions using external data such as: But there is an important problem. Documents are often too large to search and send directly to a language model. A 100-page PDF may contain thousands of words and many unrelated topics. Instead of treating the entire document as […]
Modern applications often need to perform repetitive tasks automatically. Sending emails, processing files, generating reports, calling APIs, creating database backups, and sending notifications are just a few examples. Instead of performing these tasks manually, developers can build automation systems that execute them based on schedules, events, or specific conditions. Node.js is a popular choice for […]
Businesses deal with large amounts of information every day. Data can come from invoices, PDFs, forms, emails, receipts, contracts, images, spreadsheets, and other documents. Extracting this information manually can take significant time and often requires employees to copy data from one system to another. It can also lead to typing mistakes, inconsistent formatting, and delays. […]
PDF chat applications have become one of the most practical uses of AI. Instead of manually reading a long PDF, users can upload a document and ask questions such as: What is this PDF about? Summarize chapter 3. What does this contract say about cancellation? Find the section related to payment terms. Explain this research […]
Large Language Models can answer many questions using the knowledge they learned during training. However, what if you want an AI application to answer questions using: You usually do not want to retrain an entire LLM every time your data changes. Instead, you can use Retrieval-Augmented Generation, commonly called RAG. RAG allows your application to […]
Modern AI applications often need to search by meaning, not just by exact words. For example, suppose a user searches: How can I reduce my electricity bill? A traditional database might only match records containing similar keywords. But an AI-powered search system may also find content about: The wording is different, but the meaning is […]
Databases contain some of the most important information in a business application, including customer records, transactions, orders, user accounts, and business data. Losing this information because of hardware failures, accidental deletion, software bugs, or security incidents can have serious consequences. Regular database backups are one of the simplest ways to protect critical data. However, manually […]
Managing cloud infrastructure manually can become difficult as applications grow. Creating servers, configuring networks, setting permissions, setting up databases, and maintaining environments manually takes time and can lead to configuration errors. AWS infrastructure automation helps development and operations teams create and manage cloud resources using code and automated workflows instead of configuring everything manually through […]
Search systems traditionally worked by matching the exact words typed by a user with words stored in documents, product descriptions, websites, or databases. For example, if someone searched for: best laptop for programming a traditional keyword-based system might look for pages containing the exact words: This approach works, but it has a major limitation. People […]
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