Building Neo4j-Powered Applications with LLMs : Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI
A comprehensive guide to building cutting-edge generative AI applications using Neo4j's knowledge graphs and vector search capabilities. Key Features: Design vector search and recommendation systems with LLMs using Neo4j GenAI, Haystack, Spring AI, and LangChain4j; Apply best practices for grap...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Birmingham :
Packt Publishing
2025.
Paris : Cyberlibris |
| Online Zugang: | Accès Université d'Orléans et IFPM |
| Anmerkung: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781836206224.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Building Neo4j-Powered Applications with LLMs, Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI, Ravindranatha Anthapu, Siddhant Agarwal, [Forewords by Dr. Jim Webber, Dr. Julian Risch], Birmingham, Packt Publishing, 2025, 1 vol. (312 p.), 978-18-3620-623-1 |