Text Chunk Visualizer
Visualize how your text will be chunked with different settings for RAG and semantic search.
Understanding Text Chunking
Text chunking is crucial for RAG systems. Smaller chunks provide more precise retrieval but may lose context, while larger chunks maintain context but may be less precise. Overlap helps maintain continuity between chunks.
Chunking Settings
Simulates how many chunks would be retrieved
Statistics
Generated Chunks (2)
Large Language Models (LLMs) are advanced AI systems trained on massive amounts of text data. They can understand and generate human-like text, making them useful for a wide range of applications. When working with LLMs, it's important to understand how text is processed and chunked. Chunking strategies can significantly impact
text is processed and chunked. Chunking strategies can significantly impact the quality of your results, especially in retrieval-augmented generation (RAG) systems.