Building retrieval augmented generation (RAG) applications with LlamaIndex: from basic components to advanced RAG systems
This course offers a comprehensive exploration of the Retrieval-Augmented Generation (RAG) System and the LlamaIndex framework, tailored for individuals seeking to deepen their understanding and practical skills in advanced document handling and application customization. The course delves into the...
Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Sebastopol, California]
O'Reilly Media, Inc.
[2024]
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| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/0790145860415/?ar |
| Zusammenfassung: | This course offers a comprehensive exploration of the Retrieval-Augmented Generation (RAG) System and the LlamaIndex framework, tailored for individuals seeking to deepen their understanding and practical skills in advanced document handling and application customization. The course delves into the core principles of RAG and LlamaIndex, guiding learners through the nuances of building, evaluating, and optimizing RAG applications. Special emphasis is placed on customizing these applications to manage large volumes of documents effectively, employing LlamaIndex's robust capabilities. The significance of this course lies in its focus on real-world application and problem-solving. In an era where data management and efficient information retrieval are becoming more important, mastering the RAG system and LlamaIndex framework becomes crucial. This course addresses these needs by equipping learners with the skills to evaluate RAG systems critically, customize applications with advanced techniques like Data Ingestion and Embedding Models, and implement LlamaPacks for rapid application development. By the end of this course, participants will not only understand the theoretical aspects of RAG and LlamaIndex but will also be adept at applying these concepts to improve document management and retrieval in various professional scenarios. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed August 19, 2024) |
| Umfang: | 1 Online-Ressource (1 video file (2 hr., 1 min.)) sound, color. |
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| spelling | Building retrieval augmented generation (RAG) applications with LlamaIndex from basic components to advanced RAG systems [First edition]. [Sebastopol, California] O'Reilly Media, Inc. [2024] 1 Online-Ressource (1 video file (2 hr., 1 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed August 19, 2024) This course offers a comprehensive exploration of the Retrieval-Augmented Generation (RAG) System and the LlamaIndex framework, tailored for individuals seeking to deepen their understanding and practical skills in advanced document handling and application customization. The course delves into the core principles of RAG and LlamaIndex, guiding learners through the nuances of building, evaluating, and optimizing RAG applications. Special emphasis is placed on customizing these applications to manage large volumes of documents effectively, employing LlamaIndex's robust capabilities. The significance of this course lies in its focus on real-world application and problem-solving. In an era where data management and efficient information retrieval are becoming more important, mastering the RAG system and LlamaIndex framework becomes crucial. This course addresses these needs by equipping learners with the skills to evaluate RAG systems critically, customize applications with advanced techniques like Data Ingestion and Embedding Models, and implement LlamaPacks for rapid application development. By the end of this course, participants will not only understand the theoretical aspects of RAG and LlamaIndex but will also be adept at applying these concepts to improve document management and retrieval in various professional scenarios. Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Theja, Ravi MitwirkendeR ctb O'Reilly (Firm), Verlag pbl |
| spellingShingle | Building retrieval augmented generation (RAG) applications with LlamaIndex from basic components to advanced RAG systems Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| title | Building retrieval augmented generation (RAG) applications with LlamaIndex from basic components to advanced RAG systems |
| title_auth | Building retrieval augmented generation (RAG) applications with LlamaIndex from basic components to advanced RAG systems |
| title_exact_search | Building retrieval augmented generation (RAG) applications with LlamaIndex from basic components to advanced RAG systems |
| title_full | Building retrieval augmented generation (RAG) applications with LlamaIndex from basic components to advanced RAG systems |
| title_fullStr | Building retrieval augmented generation (RAG) applications with LlamaIndex from basic components to advanced RAG systems |
| title_full_unstemmed | Building retrieval augmented generation (RAG) applications with LlamaIndex from basic components to advanced RAG systems |
| title_short | Building retrieval augmented generation (RAG) applications with LlamaIndex |
| title_sort | building retrieval augmented generation rag applications with llamaindex from basic components to advanced rag systems |
| title_sub | from basic components to advanced RAG systems |
| topic | Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| topic_facet | Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
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