Show HN: RAG-TUI – Visual chunking debugger for RAG pipelines in the terminal (pypi.org)

RAG-TUI, a new terminal-based tool for visualizing and debugging Retrieval-Augmented Generation (RAG) pipelines, has launched its beta version (v0.0.1). Designed to address common issues in text chunking that can lead to Large Language Model (LLM) hallucinations, the app offers an interactive UI that allows developers to tweak chunk sizes, overlaps, and test queries in real time. By providing insights into chunking parameters and visualizing how inputs are processed, RAG-TUI aims to enhance the quality and relevance of responses from RAG applications. This tool is significant for the AI/ML community as it effectively tackles the challenges associated with text chunking—a critical step in RAG frameworks that directly impacts LLM performance. RAG-TUI supports various chunking strategies, offers integration with multiple LLM providers (including Ollama, OpenAI, Groq, and Google Gemini), and facilitates bulk testing of queries. Its built-in presets and customizable settings further ensure that it meets a wide range of use cases, from chatbots to document analysis. With this new capability, developers can fine-tune their systems more effectively, leading to improved accuracy and user satisfaction in AI-driven applications.