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

The article provides a step-by-step tutorial on how to create an interactive visualization for RAG embedding data with Renumics Spotlight.

This simplified tutorial will walk you through each phase of developing RAG applications, with a special focus on the role of visualizing the results.

• Github : https://github.com/Renumics/renumics-rag/blob/main/notebooks/visualize_rag_tutorial.ipynb

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Author : https://www.linkedin.com/in/markus-stoll-b39a42138/

• GitHub : https://github.com/Renumics/spotlight
• Article : https://itnext.io/visualize-your-rag-data-eda-for-retrieval-augmented-generation-0701ee98768f

The article provides a step-by-step tutorial on how to create an interactive visualization for RAG embedding data with Renumics Spotlight .

🚀 You will build a visualization for a LangChain Retrieval-Augmented Generation Application with ChromaDB based on OpenAI’s text-embedding-ada-002 and GPT-4.

The demo data (🏎️ Formula One Dataset built from Wikipedia articles) can be easily changed to your own data.

📖 Check out the full article on ITNEXT

The animation here shows the UMAP dimensionality reduction of the embeddings of document snippets, colored by their relevance to the question “Who built the Nürburgring?”