streaming-elt-clickhouse-with-ai

A streaming ELT pipeline with AI Agent. Self hosted streaming ELT pipeline into ClickHouse with an AI agent that detects and explains data…

A new way for AI to search for data
View on GitHub
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Java, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 814bc8f83c (2026-10-20).

Selected work

“deliver foundation codebase with layered warehouse, d…”. 104 files, 6,284 lines in bromo-app, tools, infra.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones raihanpka/streaming-elt-clickhouse-with-ai at the pinned commit and indexes it on your machine.

Search the GitHub repository raihanpka/streaming-elt-clickhouse-with-ai with XERJ (https://hub.xerj.org/corpus/raihanpka--streaming-elt-clickhouse-with-ai).
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/raihanpka/streaming-elt-clickhouse-with-ai streaming-elt-clickhouse-with-ai && git -C streaming-elt-clickhouse-with-ai checkout 814bc8f83ca08ea3d0c111a55103ca29c254650d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./streaming-elt-clickhouse-with-ai --url http://127.0.0.1:9200 --prefix streaming-elt-clickhouse --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

Selected work and consent: the XERJ registry.