Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Retrieval Augmented Generation (RAG) Using Python: NLP And AI Applications

Retrieval Augmented Generation (RAG) Using Python: NLP And AI Applications

J. Crowd, Hawkings

Paperback

General Computers

ISBN13: 9798307943434
Publisher: Independently Published
Published: Jan 22 2025
Pages: 124
Weight: 0.41
Height: 0.26 Width: 6.14 Depth: 9.21
Language: English

Harness the potential of Retrieval Augmented Generation (RAG) to build more robust and reliable AI applications. This book provides a comprehensive, hands-on approach to implementing RAG using Python, focusing on real-world NLP and AI use cases. You'll explore:

  • The core concepts of RAG and its advantages over traditional language models.
  • Practical Python implementations using popular libraries for NLP, vector databases, and large language model APIs.
  • Techniques for efficient information retrieval, including semantic search and vector embeddings.
  • Strategies for optimizing RAG pipelines for performance and accuracy.
  • Applications in question answering, chatbots, document summarization, and more.

Whether you're a seasoned developer or just starting with AI, this book equips you with the knowledge and skills to build powerful, context-aware applications with RAG.

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