fastingest

FastIngest is a high-throughput, constant-memory bulk ingestion pipeline for.NET (CSV, XLSX, and NDJSON/JSONL to PostgreSQL, SQL Server…

A new way for AI to search for data
View on GitHub
1GitHub stars

C#

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 2caea0a88b (2026-10-01).

Selected work

Aebibtech
@aebibtech

“add ASP.NET Core integration with SignalR and background proces…”. 14 files, 833 lines in src/FastIngest.AspNetCore, tests, samples.

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

bulk-operationcsv-importdata-ingestionexcel-importjson-importjson-importernetcore

Example questions

The prompt

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

Search the GitHub repository aebibtech/fastingest with XERJ (https://hub.xerj.org/corpus/aebibtech--fastingest).
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/aebibtech/fastingest fastingest && git -C fastingest checkout 2caea0a88b424664657dee2d3d728d498bc988e6
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./fastingest --url http://127.0.0.1:9200 --prefix fastingest --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.