https://github.com/datastaxdevs/conference-2024-devoxx

From naive to advanced RAG: the complete guide
https://github.com/datastaxdevs/conference-2024-devoxx

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From naive to advanced RAG: the complete guide

• Host: GitHub
• URL: https://github.com/datastaxdevs/conference-2024-devoxx
• Owner: datastaxdevs
• License: apache-2.0
• Created: 2024-09-05T10:25:58.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-09-13T09:38:05.000Z (over 1 year ago)
• Last Synced: 2024-09-13T23:23:43.611Z (over 1 year ago)
• Language: Java
• Size: 3.23 MB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

          
## 🧑🏻‍💻 🧑🏾‍💻 From naive to advanced RAG: The complete guide 👩🏿‍💻 👩‍💻

[![License Apache2](https://img.shields.io/hexpm/l/plug.svg)](http://www.apache.org/licenses/LICENSE-2.0)

![Java](https://img.shields.io/badge/Java-17%20&%20GraalVM-00CC00?style=flat)

ℹ️ **About this Session**

> It’s easy to get started with Retrieval Augmented Generation, but you’ll quickly be disappointed with the generated answers: inaccurate or incomplete, missing context or outdated information, bad text chunking strategy, not the best documents returned by your vector database, and the list goes on.

> After meeting thousands of developers across Europe, we’ve explored those pain points, and will share with you how to overcome them. As part of the team building a vector database we are aware of the different flavors of searches (semantic, meta-data, full text, multimodal) and embedding model choices. We have been implementing RAG pipelines across different projects and frameworks and are contributing to LangChain4j.

> In this deep-dive, we will examine various techniques using LangChain4j to bring your RAG to the next level: with semantic chunking, query expansion & compression, metadata filtering, document reranking, data lifecycle processes, and how to best evaluate and present the results to your users.

⏲️ **Duration :** `3 hours`

🎓 **Level** `Intermediate`

![](img/splash.png)

## 📋 Table of Demos