RAG-Driven Generative AI : Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features: Implement RAG's traceable outputs, linking each response t...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Accesso online: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781836200901.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • RAG-Driven Generative AI, Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone, Denis Rothman, Birmingham, Packt Publishing, 2024, 1 vol. (335 p.), 978-18-3620-091-8 |
