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Description
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Give in to the beauty of pleasure with the perfectly crafted California Dreaming and reg Pasadena Player. The luxurious massager has 10 intense vibration functions, 3 shaft rotation speeds and a unique tongue-like teaser for a one-of-a-kind pleasure experience. The seamless silicone body and flickering teaser put out knee-shaking stimulation wherever pleasure takes you. Whether youre looking to turn up the heat with a lover or just enjoy some sensual solo time, this ravishing vibrator is ready. While clitoral encase teaser flickers and moves with your body, the 3 speeds of shaft rotation indulge with powerful g-spot stimulation. Control and customize your pleasure play with the independently controlled shaft rotation functions and teaser vibration functions. Recharge the massager in 2.5 hours with the provided USB charging cable to enjoy 45 minutes of high-speed stimulation or 2.5 hours of low-speed vibrations. Enjoy frustration-free control with the easy-touch 3-button control pad and security lock feature for travel-ready teasing. The virtually seamless body and self-sealing charging port allow you to get this versatile waterproof vibe for a dip. The hypoallergenic premium silicone is body-safe, unscented and phthalate free to keep your most sensitive spots, happy and healthy.Length: 8 Inches
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Size: 8 Inches
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4.5 ★★★★★
Based on 26 reviews
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Product Reviews
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
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Reviewed in the United States on June 10, 2025
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents.
What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025