Building Data-Driven Applications with LlamaIndex : A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications Key FeaturesExamine text chunking effects on RAG workflows and understand security in RAG app developmentDiscover chatbots and agents and learn how to...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Online Erişim: | Accès Université d'Orléans et IFPM |
| Not: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781805124405.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Building Data-Driven Applications with LlamaIndex, A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications, Andrei Gheorghiu, Birmingham, Packt Publishing, 2024, 1 vol. (368 p.), 978-18-3508-950-7 |