# Chat with Web Search ### **Eliminate Hallucinations with Real-Time Data Access** Large language models are highly powerful, but they share a fundamental limitation: they only know what they were trained on up to a specific date. If you ask them about recent events, they often hallucinate, making up answers that sound incredibly convincing but are completely wrong. The **Global Next Workspace** solves this by integrating a built-in web search directly into the chat environment, giving you access to real-time, up-to-date information. {% embed url="" %} ### The Business Value of Real-Time Search Why does this matter for your organization? Business teams rely on accurate data to perform critical tasks such as: * Researching competitors. * Checking current market data. * Verifying changing regulations. * Finding updated technical documentation. Without web search, AI models will confidently generate factually incorrect answers for these tasks. With GLBNXT's web search integration, your team gets accurate, reliable information without ever having to leave the governed workspace. ### Step-by-Step Guide: See the Difference #### 1. The Limitation (Without Web Search) In the Global Next chat interface, you can select powerful models like **GPTOSS 120B**. * If you leave the web search option **switched off** and ask a question about recent events (e.g., "Who's the current CEO of Oracle?"), the AI generates an answer that sounds confident. * However, if you check the AI's reasoning, you will see it struggling . It knows its knowledge cutoff is June 2024, reasons through the possibilities, but ultimately provides an incorrect or outdated answer (such as Safra Catz). #### 2. Enabling Web Search To fix this, simply **switch on the web search capabilities** in the chat options \[1]. This enables the model to actively look up the current state of events on the internet \[1]. #### 3. Getting Accurate Answers * Ask the exact same question again. * You will now see the model actively searching the web in real time, and the interface will even show you the specific **search terms** it is using. * **The Result:** The AI synthesizes the real-time sources it found and provides a completely different, factual, and correct answer. By using the exact same AI model but augmenting it with real-time web access, you instantly transform a tool that might hallucinate into a reliable research assistant. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.glbnxt.com/tutorials/video/chat-with-web-search.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.