ekimetrics / adaptive-chunking
Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Adaptive recursive splitter. configurable separators, merge modes, overlap, and automatic per-document strategy selection
- 5 intrinsic quality metrics. size compliance, intrachunk cohesion, contextual coherence, block integrity, and filtered missing reference error
- 3 PDF parsing backends. Docling (open-source, default), PyMuPDF (lightweight), Azure Document Intelligence (cloud), plus Excel support
- RAG evaluation pipeline. hybrid retrieval with custom retrieval completeness metric and answer correctness scoring
- Multi-domain evaluation. tested on technical, legal, and sustainability reporting documents
Get started
git clone https://github.com/ekimetrics/adaptive-chunking.git
cd adaptive-chunking
pip install -e ".[dev]" - Maintenance
- Active
- Last commit 4 months ago
- Stars
- 401
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 0% closed
- 2 still open
- Pull requests
- 4 merged
- 2 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- chunking
- information-retrieval
- llm
- nlp
- rag
- text-splitting
Project record
- JobOther AI tools
- StatusListed
- Commits12
- Forks44
- Watching1
- Stars in 28 days+4
- CreatedMar 26, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026