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Retrieval Augmented Generation (RAG) Using Python
Language
English
English
Book
Paperback
Harness the potential of Retrieval Augmented Generation (RAG) to build more robust and reliable AI a...
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Libristo code: 48008856
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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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About the book
Full name
Retrieval Augmented Generation (RAG) Using Python
Author
Hawkings J Crowd
Language
English
English
Binding
Book - Paperback
Date of issue
2025
Number of pages
124
EAN
9798307943434
Libristo code
48008856
Publishers
Amazon Digital Services LLC - Kdp
Weight
186
Dimensions
156 x 234 x 7
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