RAG Chunk Size Simulator

Paste text and see how different chunk sizes and overlap settings split your content for RAG pipelines.

Source Text

Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to natural intelligence displayed by animals including humans. AI research has been defined as the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals.

The term "artificial intelligence" had previously been used to describe machines that mimic and display "human" cognitive skills that are associated with the human mind, such as "learning" and "problem-solving". This definition has since been rejected by major AI researchers who now describe AI in terms of rationality and acting rationally, which does not limit how intelligence can be articulated.

AI applications include advanced web search engines, recommendation systems, understanding human speech, self-driving cars, automated decision-making, and competing at the highest level in strategic game systems. As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.

Retrieval-Augmented Generation (RAG) is a technique that enhances language models by retrieving relevant documents from a knowledge base before generating responses. The key to effective RAG is proper text chunking, which determines how documents are split into manageable pieces for embedding and retrieval.

Strategy

Chunk Size (chars)

Overlap (chars)

Chunks

Avg Chunk Size

197

Min

175

Max

200

Chunks

Chunk 1 · 200 chars

Chunk 2 · 200 chars

field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals. The term "artificial intelligence"

Chunk 3 · 200 chars

icial intelligence" had previously been used to describe machines that mimic and display "human" cognitive skills that are associated with the human mind, such as "learning" and "problem-solving". Thi

Chunk 4 · 200 chars

roblem-solving". This definition has since been rejected by major AI researchers who now describe AI in terms of rationality and acting rationally, which does not limit how intelligence can be articul

Chunk 5 · 200 chars

gence can be articulated. AI applications include advanced web search engines, recommendation systems, understanding human speech, self-driving cars, automated decision-making, and competing at the h

Chunk 6 · 200 chars

d competing at the highest level in strategic game systems. As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomeno

Chunk 7 · 200 chars

n of AI, a phenomenon known as the AI effect. Retrieval-Augmented Generation (RAG) is a technique that enhances language models by retrieving relevant documents from a knowledge base before generatin

Chunk 8 · 175 chars

ase before generating responses. The key to effective RAG is proper text chunking, which determines how documents are split into manageable pieces for embedding and retrieval.