Visualize your RAG Data — EDA for Retrieval-Augmented Generation.

Visualize Your RAG Data: EDA for Retrieval-Augmented Generation

Curiosity: How can we visualize RAG embedding data to understand retrieval quality? What insights can interactive visualizations reveal about our RAG systems?

This tutorial provides a step-by-step guide to creating interactive visualizations for RAG embedding data using Renumics Spotlight. Visualizing results is crucial for understanding and improving RAG applications.

Resources:

• 📝 Tutorial: https://github.com/Renumics/renumics-rag/blob/main/notebooks/visualize_rag_tutorial.ipynb
• 💻 Spotlight GitHub: https://github.com/Renumics/spotlight
• 📰 Article: https://itnext.io/visualize-your-rag-data-eda-for-retrieval-augmented-generation-0701ee98768f
• 👤 Author: https://www.linkedin.com/in/markus-stoll-b39a42138/

What You’ll Build

Retrieve: Interactive RAG visualization system.

Components:

• LangChain Retrieval-Augmented Generation Application
• ChromaDB vector database
• OpenAI text-embedding-ada-002
• GPT-4 for generation
• Renumics Spotlight for visualization

Demo Data: Formula One Dataset from Wikipedia (easily replaceable with your data)

Visualization Overview

Innovate: Understanding RAG data through visualization.

graph TB
    A[Documents] --> B[Embeddings]
    B --> C[ChromaDB]
    D[Query] --> E[Query Embedding]
    E --> F[Similarity Search]
    F --> C
    C --> G[Retrieved Documents]
    G --> H[Spotlight Visualization]
    H --> I[UMAP Reduction]
    I --> J[Interactive Exploration]
    
    style A fill:#e1f5ff
    style H fill:#fff3cd
    style J fill:#d4edda

Key Features

Retrieve: What Spotlight visualization provides.

Feature	Description	Benefit
UMAP Visualization	Dimensionality reduction	⬆️ Understand embedding space
Relevance Coloring	Color by query relevance	⬆️ Identify patterns
Interactive Exploration	Explore embeddings	⬆️ Debug retrieval
Document Inspection	View retrieved documents	⬆️ Quality assessment

Example: UMAP shows embeddings colored by relevance to “Who built the Nürburgring?”

Visualization Benefits

Innovate: Why visualize RAG data.

Insights:

• ✅ Understand embedding space structure
• ✅ Identify retrieval patterns
• ✅ Debug retrieval issues
• ✅ Optimize chunk sizes
• ✅ Assess embedding quality

Use Cases:

• EDA for RAG development
• Quality assessment
• Performance optimization
• Debugging retrieval issues

Key Takeaways

Retrieve: Interactive visualization with Renumics Spotlight enables exploratory data analysis of RAG embeddings, helping understand retrieval quality and optimize RAG systems.

Innovate: By visualizing RAG embedding data with UMAP and interactive tools, you can identify patterns, debug issues, and optimize your retrieval systems for better performance.

Curiosity → Retrieve → Innovation: Start with curiosity about RAG data visualization, retrieve insights from Spotlight’s capabilities, and innovate by building interactive visualizations that improve your RAG applications.

Next Steps:

• Follow the tutorial
• Try with your data
• Explore embeddings
• Optimize your RAG system