LLM RAG Visualization Dashboard
Interactive visualization dashboard for Retrieval-Augmented Generation (RAG) pipelines with real-time data flow monitoring, knowledge base exploration, and locally-hosted LLM inference powered by Ollama.
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Project Details
Built for Launchpad, the LLM RAG Visualization Dashboard is a comprehensive open-source tool for visualizing and monitoring Retrieval-Augmented Generation (RAG) systems. The dashboard provides real-time insights into data flow, embedding generation, retrieval operations, and LLM inference processes using locally-hosted models via Ollama. It enables organizations to maintain data independence, own their data in private data warehouses, and explore sensitive data without relying on closed-source APIs. Perfect for non-profits, enterprises, and data-sensitive organizations working with LLM-based systems.
Key Features
- •Real-time data flow visualization for RAG pipelines via WebSocket integration
- •Knowledge base exploration and search interface powered by Qdrant vector database
- •Embedding generation monitoring with local Ollama LLM inference
- •Retrieval accuracy debugging and vector similarity analysis
- •Local LLM inference tracking with token usage metrics
- •Sensitive data handling without external API dependencies
- •Query timeline and step-by-step execution visualization
- •Interactive vector space exploration with Qdrant
- •System metrics and health monitoring
- •Data independence and ownership in private data warehouse
Technologies Used
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