TextChunker

TextChunker turns text, streams, files, lists, and tables into clean, token sized chunks for retrieval augmented generation and embedding pipelines

A new way for AI to search for data
View on GitHub
1GitHub stars
18commits on main
0forks

C# 99.6%, Batchfile 0.4% · created 2026-09-22 · last push 2026-10-03

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit db8bfbac0b. It is the newest commit on main.

Selected work

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-28. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

chunkchunkerchunkingchunksparseparserparser-libraryrag

Example questions

The prompt

Paste it into your AI agent. It clones jchristn/TextChunker at the pinned commit and indexes it on your machine.

Search the GitHub repository jchristn/TextChunker with XERJ (https://hub.xerj.org/corpus/jchristn--textchunker).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/jchristn/TextChunker TextChunker && git -C TextChunker checkout db8bfbac0b0a3e764d086ad3036eb8f389064e1b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./TextChunker --url http://127.0.0.1:9200 --prefix textchunker --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.