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shantanu-deshmukh/chunktuner

Benchmark and optimize chunking strategies for RAG corpus

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Python MITCreated May 2, 2026

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Maintenance
Active (20d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Personal account
As of today · Source: github_public_v1
Security (OSV)
2 low (2 low)
As of today · Source: mcp_manifest@v1

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Overview

Provides a benchmarking suite to evaluate different chunking strategies on a retrieval-augmented generation (RAG) corpus. Includes tools for recommendation, evaluation, and optimization of configurations.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 12, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 12, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

pip install chunktuner
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README

Install (pick one)

uv tool install chunktuner pip install chunktuner


See cost estimate before running anything

chunk-tune estimate ./my_docs --use-case rag_qa


Installation options

pip install chunktuner                 # CLI + library
uv add chunktuner                      # library
uv tool install chunktuner             # global CLI
uvx --from chunktuner chunk-tune …     # ephemeral CLI (no install)