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Item #:
259880786
MongoDB Atlas Vector Search Simplified: Build Retrieval-Augmented Generation (RAG) AI Apps with Python (DevTech series)
Item #:
259880786
DOP 2665
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- Are you curious about how modern AI systems actually think with data? Have you ever wondered how tools like chatbots can pull in real-world knowledge instead of just guessing? And more importantly—are you ready to build something like that yourself?With MongoDB Atlas Vector Search Simplified by Kael Draycott, you’re not just reading another technical guide—you’re stepping into a hands-on conversation about the future of intelligent applications.What if you could teach your applications to retrieve, understand, and respond with context—just like a human would? This book walks you through exactly that. It doesn’t assume you already know everything; instead, it meets you where you are and asks: What do you want your AI to actually do?Are you struggling to connect language models with real data? Wondering how Retrieval-Augmented Generation (RAG) actually works in practice—not just theory? This is where things start to click. You’ll explore how to combine vector search with Python in a way that feels intuitive, practical, and immediately useful.Think about this: instead of building AI apps that hallucinate or give vague answers, what if your app could retrieve precise information and generate responses grounded in reality? Wouldn’t that change everything about how users trust your product?This book doesn’t overwhelm—you’re guided step by step. You’ll find yourself asking:How do I structure my data for smarter retrieval?How can I make my AI responses more accurate and relevant?What does it take to go from idea to a working RAG-powered app?And with every question, you’ll uncover answers through clear explanations and real Python-driven examples that bring concepts to life.But here’s the real question—are you ready to move from just using AI to actually building it? Because once you understand these techniques, you’re no longer limited to what others have created. You start designing intelligent systems tailored to your own ideas.This isn’t just about learning a tool. It’s about gaining a new way of thinking—about data, about AI, and about what’s possible when the two come together.So, what’s stopping you?If you’ve ever wanted to build smarter, more reliable AI applications—this is your moment. Take the step, explore the concepts, and start creating systems that don’t just respond… but understand.
| Publisher | Independently published |
| Publication date | April 12, 2026 |
| Language | English |
| Print length | 339 pages |
| ISBN-13 | 979-8257048937 |
| Item Weight | 2.14 pounds (970 grams) |
| Dimensions | 8.5 x 0.77 x 11 inches (21.6 x 2 x 27.9 cm) |
| Book 4 of 19 | DevTech series |
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MongoDB Atlas Vector Search Simplified: Build Retrieval-Augmented Generation (RAG) AI Apps with Python (DevTech series)
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