Madhuaravind P
Madhuaravind P'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 @Madhuarvind 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 PatentIntel.AI corpus
Madhuarvind/PatentIntel.AI: AI-powered patent intelligence for semantic search, claim analysis, prior-art discovery, multilingual claim understanding, and…
- Look up how PatentIntel.AI implements ai, ai-agents, llm, with answers cited to file and line.
- Reuse a worked example: the commit “authenticate academic retrieval and disable browser AI …” (15 files · TypeScript, JavaScript).
- Answer from PatentIntel.AI's real TypeScript source instead of memory (AI, prompts and agents).
- How does PatentIntel.AI implement ai?
- What does src/services do in PatentIntel.AI?
Search the GitHub repository Madhuarvind/PatentIntel.AI with XERJ (https://hub.xerj.org/corpus/madhuarvind--patentintel-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/Madhuarvind/PatentIntel.AI PatentIntel.AI && git -C PatentIntel.AI checkout f68c1085700c159954e4b6bbcdcfa0d05138ec76 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./PatentIntel.AI --url http://127.0.0.1:9200 --prefix patentintel-ai --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 madhuarvind--patentintel-ai · AI, prompts and agents
Related corpora: anything-llm, haystack, rowboatlabs/rowboat, DibbayajyotiRoy/AHTML
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
Madhuarvind/PatentIntel.AI
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/Madhuarvind)
Included with the author's permission (email, 2026-10-23), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.