Shivansh Jain
Shivansh Jain's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @shivanshjain456 appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the DocScout corpus
shivanshjain456/DocScout: Citation-grounded search and question-answering service that helps compliance teams query and verify Indian regulatory circulars from the…
- Look up how DocScout implements bm25, fastapi, hybrid-search, with answers cited to file and line.
- Reuse a worked example: the commit “implement high-cardinality telemetry and cost-per-qu…” (4 files · Python).
- Answer from DocScout's real Python source instead of memory (Law and regulation).
- How does DocScout implement bm25?
- What does app do in DocScout?
Search the GitHub repository shivanshjain456/DocScout with XERJ (https://hub.xerj.org/corpus/shivanshjain456--docscout). 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/shivanshjain456/DocScout DocScout && git -C DocScout checkout c031f2f45c2ae127cd2b8f9d1407d74a82b6075b 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./DocScout --url http://127.0.0.1:9200 --prefix docscout --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.
corpus shivanshjain456--docscout · Law and regulation
Related corpora: haystack, adalflow, jovempedr0/faiss_index, Martinhdeez/zenithEnterprise
Case study: reference coding for agents
Selected work
shivanshjain456/DocScout
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/shivanshjain456)
Included with the author's permission (email, 2026-10-16), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.