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messkan / rag-chunk

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

Why this job: says: rag; topics: rag, retrieval-augmented-generation, vector-search

rag-chunk demo

What it does

  • Parse and clean Markdown files
  • Semantic Intelligence. Embedding-based chunking and retrieval
  • Token-based chunking with tiktoken (OpenAI models: GPT-3.5, GPT-4, etc.)
  • Model selection via --tiktoken-model flag

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Inactive
Last commit 9 months ago
Stars
121
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.3.0
Released 11 months ago
Built with
Python
100% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
50% closed
1 still open
Pull requests
1 merged
2 waiting
Releases
3
3 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 100%

Topics

  • chunking
  • document-chunking
  • embedding-vectors
  • ia
  • langchain
  • llm
  • nlp
  • python
  • rag
  • rag-pipeline
  • retrieval-augmented-generation
  • text-splitting

Project record

  • JobRAG and search
  • StatusListed
  • Commits18
  • Forks7
  • Watching2
  • Stars in 28 days+2
  • CreatedNov 15, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

Type to search.

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