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Description
Ocean Turquoise Tissue Lehenga SetPlease get in touch for more colour options and blouse styles Completely customisable blouse Front Neck Depth: 9. 5 inches Back Neck Depth: 11. 5 inches Skirt Length: 46 inches Blouse Length: 12. 5 inches Kalidar Lehenga made in Tissue with complete hand embroidered motifs all over Paired with a matching padded blouse in tissue with detailed hand embroidery and heavy mirror work all over Full length dupatta in Organza with all over cutwork
- Please get in touch for more colour options and blouse styles
- Completely customisable blouse
- Front Neck Depth: 9.5 inches
- Back Neck Depth: 11.5 inches
- Skirt Length: 46 inches
- Blouse Length: 12.5 inches
- Kalidar Lehenga made in Tissue with complete hand-embroidered motifs all over
- Paired with a matching padded blouse in tissue with detailed hand embroidery and heavy mirror work all over
- Full length dupatta in Organza with all over cutwork embellishment, hand-embroidered border and motifs all over
- Punctuated with the inherent uniqueness of handmade clothing, its imperfections are telling of its unique handmade nature and not a defect
- Dry clean only
- Model is 5'8" tall and wearing custom size XS
- MRP : INR 76000.00 inclusive of all taxes
-
Manufactured by : Zoon Tribe, A-78, II Floor, DDA Shed, Okhla Industrial Area Phase II, New Delhi 110020
- Country of Origin : India
Please leave desired neck depth (front & back), blouse and skirt length in the order notes while placing the order. For complete custom sizing please get in touch at [email protected] or +91 8287363373
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
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4.5 ★★★★★
Based on 14 reviews
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Product Reviews
★★★★★ 5
Excellent introduction
Format: Kindle
This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 6, 2026
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 21, 2026
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 23, 2025
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