AI & Prompt Engineering 100% Local Processing Limit: 10 MB

RAG Markdown Semantic Chunker

Split long markdown and text documents into customizable chunks with overlap for vector databases.

Sponsor Space

1. Document & Chunk Bounds

2. Generated Chunks

0 Chunks
Click Generate RAG Chunks to preview
Sponsor Space

How to Use the RAG Markdown Semantic Chunker

  1. 1
    Paste markdown document or text.
  2. 2
    Set target chunk size and character overlap.
  3. 3
    Click "Generate RAG Chunks" and export JSON for Pinecone, Chroma, or Qdrant.

Practical Example & Use Case

Common Real-World Scenario

Chunking a 20,000-word product documentation manual into 600-character segments with 80-character overlap for vector search.

Technical Notes & Limitations

Browser Engine Architecture

Performs boundary-aware character/token chunking on whitespace.

Frequently Asked Questions

Why is overlap necessary?

Overlap prevents semantic context from being sliced across chunk boundaries, ensuring accurate retrieval.