Watch the step-by-step video guide to connect your chatbot with trusted science sources—complete with live web search and real-time context enhancement.
Large Language Models are impressive, but they’re not all-knowing. Out of the box, they can’t access the current date or fetch the latest research. That’s a problem when you’re building a chatbot meant to help users explore real-time scientific discoveries or reference the most recent academic papers.
In this video, we show how to overcome those limitations using two powerful Cogfy tools:
getDate, which gives the LLM access to today’s datewebSearch, a Brave-powered tool that can be configured to return results only from specific sources—in this case, science.orgBy combining these tools, your chatbot becomes capable of delivering context-aware, up-to-date responses based on real scientific content.
Whether you're creating a research assistant, a science explainer, or simply enhancing your chat with reliable external knowledge, this tutorial shows how to make it happen—step by step.
Ready to see it in action? Watch the tutorial below to learn how to configure getDate and webSearch to power your chatbot with real-time, research-grade insights.
With just a couple of well-configured tools, your chatbot can break out of its static bubble and start delivering dynamic, up-to-date, and highly relevant information. Whether you're building an assistant for research, education, or discovery, this setup gives your users access to trusted sources—on demand. Keep exploring, keep iterating, and let your chat do the heavy lifting.