https://github.com/nirantk/rag-to-riches

https://github.com/nirantk/rag-to-riches

evals rag search

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/nirantk/rag-to-riches
• Owner: NirantK
• License: mit
• Created: 2024-09-13T12:10:47.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-04-10T12:16:00.000Z (about 2 months ago)
• Last Synced: 2025-04-12T06:07:36.800Z (about 2 months ago)
• Topics: evals, rag, search
• Language: Jupyter Notebook
• Homepage: https://maven.com/nirantk/search-for-rag
• Size: 1.23 MB
• Stars: 22
• Watchers: 1
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 🚀 RAG to Riches

> A comprehensive course on building production-ready RAG (Retrieval Augmented Generation) systems

[![Course Link](https://img.shields.io/badge/Course-Maven-blue)](https://maven.com/nirantk/rag-to-riches)

[![Website](https://img.shields.io/badge/Website-nirantk.com-green)](https://nirantk.com)

This repository contains all the code and datasets used in the [Search for RAG](https://maven.com/nirantk/rag-to-riches) course. Guest speakers are encouraged to contribute their code, notebooks, and datasets by raising a PR to the respective folders.

## 📚 Course Curriculum

### Module 1: Foundations of RAG

- **01 RAG Evals** 🔍

  - Understanding RAG metrics and evaluation frameworks

  - Setting up evaluation pipelines

  - Best practices for RAG testing

- **02 Query Understanding** 💭

  - Query analysis techniques

  - Query expansion and reformulation

  - Handling different query types and intents

- **03 Jerry Liu** 🏗️ ![Guest Lecture](https://img.shields.io/badge/Guest-Lecture-purple)

  - Hybrid search approaches

  - Multi-stage retrieval

  - Custom retrievers and rankers

### Module 2: Advanced RAG Techniques

- **04 Ofer** ⚡ ![Guest Lecture](https://img.shields.io/badge/Guest-Lecture-purple)

  - Performance optimization strategies

  - Caching and indexing techniques

  - Scaling RAG systems

- **05 Automatic Prompting** 🤖

  - Dynamic prompt generation

  - Prompt optimization techniques

  - Automated prompt testing

- **06 Working with Complex Docs** 📄

  - Handling structured and unstructured documents

  - Document chunking strategies

  - Multi-modal document processing

### Module 3: Industry Applications

- **07 Aditya Gushwork** 🏢 ![Guest Lecture](https://img.shields.io/badge/Guest-Lecture-purple)

  - Enterprise-grade RAG implementations

  - Security and compliance considerations

  - Integration patterns

- **08 John Gilhuly** 🚀 ![Guest Lecture](https://img.shields.io/badge/Guest-Lecture-purple)

  - Deployment strategies

  - Monitoring and observability

  - Production best practices

### Module 4: Advanced Topics

- **09 Neural IR** 🧠

  - Neural search architectures

  - Dense retrievers

  - Cross-encoders and bi-encoders

- **10 Testset Generation** 🧪

  - Synthetic data generation

  - Test set validation

  - Quality assurance techniques

- **11 Embedding Models** 🔤

  - Understanding embedding spaces

  - Model selection and fine-tuning

  - Multi-modal embeddings

### Module 5: Optimization and Tricks

- **12 Vectorsearch Tricks** 🎯

  - Advanced indexing techniques

  - Query optimization

  - Performance tuning

- **13 Shreya Shankar** 🏗️ ![Guest Lecture](https://img.shields.io/badge/Guest-Lecture-purple)

  - System architecture patterns

  - Scalability considerations

  - Error handling and recovery

### Module 6: Specialized Applications

- **14 Atita Arora** 🎯 ![Guest Lecture](https://img.shields.io/badge/Guest-Lecture-purple)

  - Industry-specific implementations

  - Custom knowledge bases

  - Specialized retrieval techniques

- **15 Text Profiling** 📊

  - Text classification

  - Content analysis

  - Metadata extraction

- **16 Alberto Romero** 🔮 ![Guest Lecture](https://img.shields.io/badge/Guest-Lecture-purple)

  - Emerging trends

  - Research directions

  - Future applications

### Additional Resources

- **Lab01 Finance Bench** 💰

  - Finance-specific RAG implementations

- **Office Hours** 🎥

  - Recordings and materials from office hours

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Created with ❤️ by Nirant Kasliwal