Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 6 - Jul 11
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Jyoti Fashion Women's Magenta Chinon Chiffon Embroidered Designer Straight Suit SetJyoti Fashion Women's Magenta Chinon Chiffon Embroidered Designer Straight Suit Set Kurta Type: Straight Kurta Fabric: Chinon Chiffon Kurta Length: Knee Length Sleeves Length: 3 4 (three quarter regular sleeves) Neck Type: V Neck Slit Detail: Side Slits Available Size: XXS(32"), XS(34"), S(36"), M(38"), L(40"), XL(42"), 2XL(44"), 3XL(46") Bottom Type: Pant Bottom Fabric: Muslin Bottom Pattern: Solid Bottom Closure: Slip On Waistband: Partially
Jyoti Fashion Women's Magenta Chinon Chiffon Embroidered Designer Straight Suit Set
Kurta Type: Straight
Kurta Fabric: Chinon Chiffon
Kurta Length: Knee Length
Sleeves Length: 3/4 (three-quarter regular sleeves)
Neck Type: V-Neck
Slit Detail: Side Slits
Available Size: XXS(32"), XS(34"), S(36"), M(38"), L(40"), XL(42"), 2XL(44"), 3XL(46")
Bottom Type: Pant
Bottom Fabric: Muslin
Bottom Pattern: Solid
Bottom Closure: Slip-On
Waistband: Partially Elasticated
Available Size: XXS(32"), XS(34"), S(36"), M(38"), L(40"), XL(42"), 2XL(44"), 3XL(46")
Dupatta Fabric: Chinon Chiffon
Dupatta Length: 2.25 mtrs
Dupatta Pattern: Solid
Work: Cording with Resham Thread & Sequin
Length: 46 Inch
Wash Care: Dry Clean Only
Size & Fit: The model (height 5'8) is wearing a size M
Legal Disclaimer: Product color may slightly vary due to photographic lighting sources or your monitor settings.
Product ID: 15068537Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
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]
- Please click here for more details>>> Return & Exchange Policy
4.8 ★★★★★
Based on 1395 reviews
Sort
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025