Try now with demo data
USE CASE · TECHNICAL KNOWLEDGE & ENGINEERING RETRIEVAL · LOCAL RAG
Stop Interrupting Your Senior Engineer: Legacy Code, Manuals and Post Mortems, Answered in 4 Seconds
Your system knowledge is scattered across old repositories, PDF manuals and incident write ups. Noot 8 puts it all behind one cited, page level answer, on your office LAN, with nothing sent to the cloud.
The Operational Bottleneck
It is 9:40 on a Tuesday. A production batch job fails with an error code nobody on the current team has seen. The code was written eleven years ago. The engineer who wrote it left in 2019. The only person who might remember is a senior developer, and they are in the middle of a release.
So the search begins. A shared drive with four versions of the same manual. A wiki page last edited in 2017. A repository with no README. A folder of post mortem reports saved as scanned PDFs, named "incident_final_v2". Twenty minutes pass. Then thirty. Then someone walks over to the senior developer anyway, and two people lose their morning instead of one.
This is not a tooling gap. It is buried tribal knowledge. The answer exists, but it lives in a manual diagram, a code comment, a margin note on a scanned page, or the memory of one tired person. Teams then look at public AI assistants to help. That raises a harder question: can you paste proprietary source code, internal architecture notes and customer incident details into a cloud service? Under GDPR, and under Italian AI Law L.132/2025, most security and legal teams say no.
Engineering teams are stuck between two bad options.
- The Manual Search Pitfall: Keyword search misses scanned manuals, wiring and flow diagrams, and handwritten annotations. Engineers burn hours, then interrupt a colleague to get the real answer.
- The Cloud AI Privacy Risk: Uploading source code and incident history to a public SaaS exposes intellectual property and customer data outside your control, and creates a compliance problem you must later explain.
How Noot 8 Solves It Locally
Noot 8 is a plug and play edge appliance. You connect it to your office LAN, point it at your shared folders and repositories, and it is ready in about 5 minutes. There is no server to build, no cloud account to open and no IT project to schedule.
Engineers then ask questions in plain language. Noot 8 answers in seconds and cites the exact document and page it used. You can open the source and check it. That matters when the answer decides whether you roll back a release.
Eye Cortex: it reads pages the way an engineer does
Legacy documentation is rarely clean text. It is scanned manuals, photographed whiteboards, architecture diagrams and tables with merged cells. Classic OCR flattens these into garbled strings, and a wrong character in an error code or a register address can send a team down the wrong path for hours.
Eye Cortex takes a different route. It runs ColPali, a 4 billion parameter visual AI, that looks at each page as an image. It understands layout, diagrams, tables and stamps directly, without a lossy text conversion step. The result is fewer transcription errors and answers that reflect what is actually printed on the page.
- Legacy codebases: Ask which module writes to a given table, or why a COBOL or old C routine uses a specific flag, and get the file, function and nearby comments cited.
- System manuals: Scanned vendor PDFs with timing diagrams, parameter tables and error code lists are searchable by meaning, not just by exact words.
- Post mortem incident logs: Find every past outage with similar symptoms, the fix that worked and the follow up actions that were agreed.
- Architecture diagrams: Query whiteboard photos and exported diagrams to confirm which service talks to which database.
- Runbooks and release notes: Link a deployment step to the incident that made it necessary.
WORKFLOW SCENARIO: THE 2 A.M. BILLING FAILURE
Before: An on call engineer sees a reconciliation job crash with error 4017. They search the wiki and find nothing. They grep a repository with 300,000 lines and no documentation. They call the one senior developer who knows the module, who is asleep. After 90 minutes they find a scanned 2014 post mortem that describes the same failure, in a folder nobody remembered.
After: The engineer types "error 4017 reconciliation job" into Noot 8. In 4 seconds they get the 2014 post mortem, page 3, the manual section that defines the code, and the function in the repository that raises it. The fix is applied in 10 minutes. Nobody is woken up, and the knowledge stays in the building.
Architectural Advantage & Privacy Guarantee
Source code and incident history are among the most sensitive assets a company owns. With Noot 8, they never leave the room. Embedding and indexing run 100% locally, on hardware that sits on your company LAN. Your documents are not uploaded, not mirrored and not used to train anyone else's model.
This is a physical guarantee, not a policy promise. You can trace the cable. For Italian companies, that simplifies GDPR obligations on data location and processing, and it aligns with the human oversight and transparency expectations of Italian AI Law L.132/2025 and the EU AI Act. Your DPO gets a simple answer to a hard question.
The pricing is equally clear. One flat fee covers the whole team and the hardware. You do not pay more when a new developer, contractor or support engineer joins.
| Operational Dimension | Noot 8 Local RAG | Cloud AI (Copilot / Public SaaS) |
|---|---|---|
| Where source code and incident logs live | ✓ Indexed on your LAN, never leaves the building | ✗ Sent to external servers for processing |
| Regulatory compliance (GDPR / EU AI Act) | ✓ No third country transfer of customer incident data | ✗ Needs data processing agreements and transfer reviews |
| Understanding scanned manuals and diagrams | ✓ Eye Cortex reads pages visually, no OCR errors | ✗ Text extraction misreads codes, tables and drawings |
| Setup effort for the engineering team | ✓ Plug in, ready in 5 minutes, zero IT configuration | ✗ Connectors, permissions and security review first |
| Cost as the team grows | ✓ Flat €149/month, hardware included | ✗ Per seat licences that rise with every hire |
Practical Applications in Technical Knowledge & Engineering Retrieval
- Understand inherited code before touching it. New maintainers ask what a legacy module does, which jobs call it and what broke the last time someone changed it. The answer cites source files, comments and the related incident report.
- Triage faster during on call shifts. Paste an error message or symptom and see matching past incidents, their root causes and the exact remediation steps. Mean time to resolve drops because nobody starts from zero.
- Make system manuals usable. Look up a parameter, a pinout or a configuration limit from a 400 page scanned manual and jump straight to the cited page, including the table or figure that holds the value.
- Protect your senior engineers' time. Junior staff get a reliable first answer without a tap on the shoulder. Seniors stay in focus, and their experience is captured in documents instead of memory.
- Run sharper post mortem reviews. Before closing an incident, check whether the same pattern appeared in earlier reports and whether the agreed actions were ever completed. Recurring failures become visible.
YOUR DOCUMENTS. YOUR BUILDING. YOUR AI.
See your own legacy code and manuals answer back
Book a live demo and watch Noot 8 find a root cause in your documents, with a cited page, in seconds. All on your LAN.
Book Your Live Demo →€149/month · hardware included · cancel anytime · 30 day money back guarantee