RAG from First Principles : Engineering retrieval-augmented generation systems with Python, LangChain, and LlamaIndex
A rigorous, code-first guide to RAG engineering by a bestselling AI author. Master data ingestion, chunking, embeddings, vector storage, hybrid retrieval, reranking, and evaluation from the ground up. Key Features: Engineer RAG systems layer by layer, from ingestion to evaluation; Master hybrid retr...
Zapisane w:
| 1. autor: | |
|---|---|
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Birmingham :
Packt Publishing
2026.
Paris : Cyberlibris |
| Dostęp online: | Accès Université d'Orléans et IFPM |
| Komentarz: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781835888674.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • RAG from First Principles, Engineering retrieval-augmented generation systems with Python, LangChain, and LlamaIndex, Jia Huang, Birmingham, Packt Publishing, 2026, 1 vol. (492 p.), 978-18-3588-866-7 |