Stop Guessing.
Map Your Context.
The Rust-powered RAG engine that kills "AI Blindness." Index your entire codebase locally for deterministic accuracy in Automotive and Fintech.
Air-Gapped Security • No Cloud Leaks • SOC2 Ready
AI Tools are hallucinating your Capital away.
In complex engineering hubs like Global R&D GICs, "AI Blindness" is the silent killer. When your team spends hours correcting LLM hallucinations or hunting for cross-repo logic, you aren't just losing time—you're leaking revenue.
End "AI Blindness"
Feed your local LLM the full semantic map of your repository. Stop the guessing game.
Recover "Doc Debt"
Convert the ₹ Lakhs (or $ Thousands) lost in developer onboarding into shipping velocity.
Annual Productivity Tax
$243,750
*Based on $65,000 avg. CTC and 15% loss to "Context Hunting" and AI Hallucinations.
~/nissan-adas-core $ doc-pilot map .
🔍 Scanning 124,500 lines of C++/Rust...
✔ Indexing complete (1.8s)
✔ Local Vector Store Synced [Air-Gapped]
! Detected 4 circular logic flows in /steering_control
! Detected 12 undocumented "Ghost Functions"
Build vs. Buy
| Metric | Internal DIY RAG | Doc-Pilot Engine |
|---|---|---|
Engineering Cost6 months vs. 1-day setup | $150k+ | $599 |
Security Guarantee | Variable/High Risk | Air-Gapped/Local |
Maintenance | High (Ops Overhead) | Zero (Rust Binary) |
Context Accuracy | Surface-level | Deep Semantic Map |
Doc-Pilot vs. MCP Servers
Why protocols alone aren't enough for enterprise codebases.
The "Pipe"
Passive transport layer. Waits for the AI to ask for a file. Overwhelms context windows in large repos.
The "Refinery"
Proactive indexing. Uses Rust to semantically map millions of LoC, serving only the precise "needle" the AI needs.
Industry Verticals
Mission-Critical GICs
"IP Security is non-negotiable."
Deploy locally on VPC or air-gapped hardware. No code ever leaves your perimeter. Built for the strict security protocols of **Global R&D Bunkers** and **Automotive GICs**.
- SOC2/ISO Hardened Logs
- Native Rust Binary — Zero Cloud Egress
- High-Precision Dependency Mapping
Coming Soon..Watch Doc-Pilot in Action (30s)
Why RAG is the death of the manual README.
"Most AI tools guess. Doc-Pilot knows."
Deep Context Awareness: We don't just read the diff. We retrieve related logic and dependencies from your entire repo.
Fact-Based Updates: Updates are anchored in your code reality, eliminating AI hallucinations.
Standard AI Wrappers
Context blind. Hallucinates logic. Doesn't understand cross-file dependencies.
Doc-Pilot RAG
Indexes whole-repo context. Understands engineering intent. 100% accurate diagrams.
Diagrams-as-Code
Auto-generates Mermaid.js flows. When your API logic changes, your architectural diagram follows.
Intent Mapping
Powered by RAG to understand the "Why" behind your logic, ensuring documentation reflects engineering intent.
Enterprise Privacy
Your code remains yours. We never use proprietary data to train base models. SOC2 standards applied.
Your Hardware.
Your Choice of Model.
Doc-Pilot RAG isn't hard-coded to a single provider. We ship with Qwen2.5-Coder 7B by default for blazing fast diff-analysis, but you can swap it for any model in the Ollama library.
# doc-pilot.config.json
{
"engine": "ollama",
"model": "qwen2.5-coder:7b",
"privacy_mode": "strict",
"rag_threshold": 0.85
}
Security
First.
We built Doc-Pilot for the most regulated industries: Fintech, Healthtech, and Defense.
Compliance Ready
Designed to exceed SOC2 Type II and GDPR data residency requirements.
No. Unlike traditional AI tools that send data to OpenAI or Anthropic, Doc-Pilot RAG processes everything on your own hardware via Ollama. The code, the embeddings, and the generated documentation never touch the public internet.
Qwen2.5-Coder 7B is state-of-the-art for local code intelligence. It provides high-speed, local inference with zero latency. For enterprises, the minor gap in general knowledge compared to GPT-4 is outweighed by the 100% data sovereignty and 0ms network lag.
Absolutely not. Because the system is self-hosted on your infrastructure, we have no access to your data. Your proprietary logic is used only to create a temporary RAG index for your specific documentation needs.
We use a secure, encrypted tunnel (or a self-hosted runner) that acts as a bridge. The Action sends a 'ping' to your local Doc-Pilot worker, which then performs the RAG analysis and pushes the documentation fix back to your repo.
THE $599 PILOT
"30 days to total codebase transparency. On-site setup available for secure R&D bunkers. GICs."
Let's talk Documentation
Have questions about the ₹45,000 Pilot Program or RAG integration?
Derek Joseph
Founder & Lead Dev
"I'm personally overseeing the first 10 Pilot integrations. Connect with me on LinkedIn to see our roadmap."
Direct Access
Prefer a direct conversation? Drop me an email or book a quick 15-minute technical audit.
© 2026 Doc-Pilot RAG. Built in India for the world's engineering teams.