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Description
Klarus CH4S Smart ChargerMicrocomputer control system allows each of the four battery slots to charge and display the voltage and charging capacity of each battery independently. Capable of charging 4 batteries simultaneously (Ni MH NiCd LiFePO4 3. 7V Li ion 3. 8V Li ion) Li ion26650 22650 18650 18490 17670 17500 16340 14500 10440 16340 (RCR123A) Ni MH Ni CdAA AAA AAAA C Charging voltage is from 100 240V, suitable for use in ANY country worldwide LCD panel clearly displays
- Microcomputer control system allows each of the four battery slots to charge and display the voltage and charging capacity of each battery independently.
- Capable of charging 4 batteries simultaneously (Ni-MH/NiCd/LiFePO4/3.7V Li-ion/3.8V Li-ion)
- Li-ion：26650 22650 18650 18490 17670 17500 16340 14500 10440 16340 (RCR123A)
- Ni-MH/Ni-Cd：AA AAA AAAA C
- Charging voltage is from 100-240V, suitable for use in ANY country worldwide
- LCD panel clearly displays battery\'s charging progress, type, voltage and capacity
- Can be used to charge batteries either as a Car charger with DC (5V 2A) or as a home charger using AC DV Control technology improves the charging efficiency and shortens the charging time.
- Built-in reverse polarity and short-circuit protection
- Features over-charge protection to prevent battery damage. Automatically stops charging when complete
- Auto-activation function:
- a). Automatically reactivates “zero voltage” short-circuit protected Li-ion batteries that have been completely drained of power
- b). LCD displays “null” when attempting to charge a battery that cannot be reactivated
- Made from durable ABS (fire retardant/flame resistant) for your safety
- Designed for optimal heat dissipation, long lifespan
- Specification
- Input Voltage: AC 100-240V 50/60Hz
- DC 5V 2A
- Output Voltage: 4.35V ±0.02V/4.2V±0.2V/ 3.6V ±0.02V / 1.43V ±0.02V
- Input Current: 1000mAh x 2/500mAh x 2 (Slots 1 and 4 current: 1000mAh z for large capacity batteries; Slots 2 and 3 current 500mAh for small capacity batteries).
- Size：145mm×100mm×3mm
- Compatible with: LiFePO4, 3.7v & 3.8v Li-ion, Ni-MH, Ni-Cd
- Li-io：26650 22650 18650 18490 17670 17500 16340 14500 10440 \\16340( RCR123 )
- Ni-MH, Ni-Cd：AA AAA AAAA C
- Weight: 260g
- Optimal working environment: humidity 5-90% and temperature 0-35°C ( fully-laden regular activity)
- Storage temperature: 0°C-40°C
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Exchange/Return Notes
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4.6 ★★★★★
Based on 20 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
★★★★★ 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