Mastering Retrieval-Augmented Generation : Building next-gen GenAI apps with LangChain, LlamaIndex, and LLMs (English Edition)
Description: Large language models (LLMs) like GPT, BERT, and T5 are revolutionizing how we interact with technology - powering virtual assistants, content generation, and data analysis. As their influence grows, understanding their architecture, capabilities, and ethical considerations is more impo...
Uloženo v:
| Hlavní autoři: | , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| On-line přístup: | Accès Université d'Orléans et IFPM |
| Poznámka: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365897241.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Mastering Retrieval-Augmented Generation, Building next-gen GenAI apps with LangChain, LlamaIndex, and LLMs (English Edition), Prashanth Josyula, Karanbir Singh, New Delhi, BPB Publications, 2025, 1 vol. (520 p.), 978-93-6589-724-1 |
Obsah:
- 1. Introduction to Large Language Models2. Introduction to Retrieval-augmented Generation3. Getting Started with LangChain4. Fundamentals of Retrieval-augmented Generation5. Integrating RAG with LangChain6. Comprehensive Guide to LangChain7. Introduction to LlamaIndex8. Building and Optimizing RAG Pipelines with LlamaIndex9. Advanced Techniques with LlamaIndex10. Deploying RAG Models in Production11. Future Trends and Innovations in RAG