E-Book, Englisch, 368 Seiten
Gheorghiu Building Data-Driven Applications with LlamaIndex
1. Auflage 2024
ISBN: 978-1-80512-440-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
E-Book, Englisch, 368 Seiten
ISBN: 978-1-80512-440-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
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Weitere Infos & Material
Table of Contents - Understanding Large Language Models
- LlamaIndex: The Hidden Jewel - An Introduction to the LlamaIndex Ecosystem
- Kickstarting Your Journey with LlamaIndex
- Ingesting Data into Our RAG Workflow
- Indexing with LlamaIndex
- Querying Our Data, Part 1 – Context Retrieval
- Querying Our Data, Part 2 – Postprocessing and Response Synthesis
- Building Chatbots and Agents with LlamaIndex
- Customizing and Deploying Our LlamaIndex Project
- Prompt Engineering Guidelines and Best Practices
- Conclusions and Additional Resources