SKU: 51031265458

Throat Chakra Balancing Oil Blend

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Description

Throat Chakra Balancing Oil BlendAwaken and Heal Your Throat Chakra This oil was inspired by the throat chakra & is for Clear Communication Self Expression Affirmative Speech Releasing of Blocked Energy. What is an oil blend? This oil is a blend of essential oils and a base oil. Its based on the principles of Aromatherapy. These oil blends maintain and promote physical , psychological and spiritual well being . How to use: Use it with a clear and strong intent, You can place 1 2

Awaken and Heal Your Throat Chakra

This oil was inspired by the throat chakra & is for 

Clear Communication
Self Expression 
Affirmative Speech 
Releasing of Blocked Energy. 

What is an oil blend?
This oil is a blend of essential oils and a base oil. It’s based on the principles of Aromatherapy. These oil blends maintain and promote physical , psychological and spiritual well being . 

How to use: 
Use it with a clear and strong intent, You can place 1 - 2 drops on a tissue or handkerchief and inhale as and when required . Or place a few drops of oil on your palm. Rub your hands together, cup them over your nose and inhale deeply. 

Aromatherapy is not intended to diagnose, treat, cure or prevent any disease.The oil is not for oral consumption. Do not use it for children, babies and pregnant women. Do not apply on broken skin or genitals

Please note: All sale purchases are final sale and cannot be returned, refunded, or exchanged.

Shipping:

  • Orders are shipped all across India in 7-10 working days.
  • This product is Non-Returnable and Non-Refundable.
  • Please make a video while opening your package to claim any damage or missing article.

     

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      Exchange/Return Notes
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      SKU: 51031265458

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      4.5 ★★★★★
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      David Escobar
      Belleville, US
      ★★★★★ 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
      F
      Verified Purchase
      Filipe Fernandes
      Natrona Heights, US
      ★★★★★ 5
      Great book
      Format: Paperback
      Love the fact you put examples in python and javascript. Great book.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on June 10, 2025
      E
      Verified Purchase
      Eddwin Paz
      Carnegie, US
      ★★★★★ 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
      B
      Verified Purchase
      B. Black
      Whiting, US
      ★★★★★ 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
      J
      Joe Faith
      Boise, US
      ★★★★★ 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on July 17, 2025

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