# Vector chunk visualization
URL: https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/vectorstore-chunk.html

> Implement a Streamlit application to gain insights from a vector database of chunks.

# Vector chunk visualization

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/tree/main/generative_ai/vectorstore-chunk-visualization)

This AI Accelerator demonstrates how to implement a Streamlit application to gain insights from a vector database of chunks. A RAG developer can compare similarity between chunks and remove unnecessary data during RAG development. In this workflow you will build a Streamlit application, build a vectorestore, then build and analyze summaries of chunks and clusters in the data.

---
