Episode Details

Welcome to “AI with Shaily” hosted by Shailendra Kumar, a male tech enthusiast and expert in AI and web search technologies. In this detailed discussion, Shailendra dives deep into a major transformation in how developers access web search data, focusing on the shift from traditional Bing Search APIs to Microsoft’s new Grounding with Bing Search via Azure AI Agents. 🚀 For years, Bing Search APIs were beloved by developers because they offered straightforward, programmatic access to structured web search results. These results were ranked, filterable, and transparent, making it easy to build specialized search engines or fact-checking tools with a clear audit trail. Imagine having a reliable GPS for the web—deterministic, precise, and fully controllable. Developers could access neat lists of URLs, metadata, and had full control over filtering and ranking, which was crucial for applications demanding accuracy and trust. 🧭🔍 However, Microsoft is now phasing out these traditional APIs by August 2025. The new approach, called Grounding with Bing Search, is more like handing over the navigation to an expert AI agent. Instead of delivering raw data, this method retrieves relevant chunks of Bing search content behind the scenes and feeds them into large language models. These models then synthesize natural language answers that are conversational, context-aware, and designed for more human-like interactions. 🧠🤖💬 While this sounds very slick and modern, it comes with trade-offs. Developers lose the crystal-clear transparency and fine-tuned control they once had. It’s like receiving a chef’s special dish—you get to enjoy the flavors but can’t inspect every ingredient or cooking step. This means developers can no longer audit or rank sources directly, which is a significant challenge for applications where verifying the source is critical. Additionally, traditional features like custom filtering, pagination, and strict content type controls are reduced or missing. Pricing also shifts from predictable API tiers to variable, consumption-based models, reflecting the AI-driven paradigm. 🍽️🔍⚖️ Shailendra shares a personal reflection on this change: when he first used Bing Search APIs for an AI-powered research assistant, having precise data allowed him to trust and explain every piece of information. Switching to Grounding with Bing feels like gaining a brilliant storyteller who weaves facts into a narrative but doesn’t show all the raw pages behind the story. It’s powerful but requires trust in the AI’s “memory” and the selected web chunks. 📚✨🤔 He poses a thoughtful question to the audience: In a world where AI crafts answers from real-time data, how much transparency and control are you willing to trade for richer, more conversational insights? This invites developers and users alike to consider the balance between innovation and accountability. ⚖️💡 Before concluding, Shailendra offers a practical bonus tip for developers navigating this transition: consider hybrid approaches. Use grounding for front-end conversational interfaces to leverage the AI’s natural language capabilities, but maintain your own caching and metadata stores for workflows that require strict source audits. This strategy balances innovation with accountability, helping to manage the new challenges effectively. 🛠️🔄💼 He closes with an inspiring quote from Alan Turing: “We can only see a short distance ahead, but we can see plenty there that needs to be done.” This perfectly captures the forward-looking nature of this shift—exciting but filled with puzzles to solve. 🌟🔮 Finally, Shailendra encourages viewers to stay connected by following him on YouTube, Twitter, LinkedIn, and Medium for more updates. He invites the community to subscribe, share thoughts in the comments, and engage in the ongoing conversation about balancing AI-driven answers with transparency. 📱💬🌐 That’s the essence of “AI with Shaily”—hosted by Shailendra Kumar, inspiring curiosity, con