Before we book your Weld AI installation call, please complete the three steps below. The installation call itself is short and straightforward — but only once your system is confirmed ready in advance.

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Prerequisites must be in place before we book your installation call We cannot begin installation until your system passes the automated check. For Windows PC and Windows Server Direct installs, this includes WSL2 being fully configured and working. If IT prerequisites are not in place on the day of the call, we will need to reschedule.
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Complete both the script and the form below Email the diagnostics zip and your answers to hello@weldai.uk with subject: Pre-Install — [your company name].

1 Choose Your Install Type

Weld AI supports several installation configurations depending on your server setup. Review the options below and identify which best matches your situation — include this in your email.

Not sure which applies to you? Email us at hello@weldai.uk and we'll advise.

Linux Server

Linux

Weld AI installed directly on an Ubuntu or Debian Linux server. Simplest possible install — Docker works natively with no virtualisation layer needed.

  • Ubuntu 22.04 LTS or Debian 12
  • 8GB RAM minimum
  • Docker Engine (no WSL required)
  • Full network share support via NFS/Samba

Windows Server (Direct)

Alternative only

Weld AI installed directly on Windows Server 2022 without a Linux VM. Only recommended when Hyper-V is unavailable or IT policy prevents running Linux. Requires complex WSL2 configuration.

  • Windows Server 2022 Desktop Experience only
  • 16GB RAM minimum
  • WSL2 requires significant manual IT setup
  • Network shares not supported
  • Use Ubuntu VM approach if at all possible
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What is Hyper-V? Hyper-V is Microsoft's built-in virtualisation platform — included free with Windows Server 2022. It allows multiple virtual machines (VMs) to run on a single physical server, each completely isolated from each other. Most Windows Server 2022 installations have Hyper-V available. Your IT team can check by opening Server Manager and looking for the Hyper-V role, or by running Get-WindowsFeature Hyper-V in PowerShell.
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Windows Server Direct — Desktop Experience required If using the Windows Server Direct option, the server must be running Windows Server 2022 with Desktop Experience (full graphical interface). Windows Server Core (command-line only) is not supported.

2 System Requirements

Requirement Windows PC Win Server + Ubuntu VM Win Server Direct Linux Server
OS Windows 10 (21H2+) or 11 Windows Server 2022 + Ubuntu 22.04 VM Windows Server 2022 Desktop Experience Ubuntu 22.04 LTS or Debian 12
RAM 8GB min, 16GB rec. 16GB min (4GB for VM) 16GB min 8GB min, 16GB rec.
Disk 20GB free 60GB free (VM + app) 20GB free 20GB free
Virtualisation WSL2 + VM Platform Hyper-V on host WSL2 (complex setup) Not required
Docker Docker Desktop Docker Engine (in VM) Docker Desktop Docker Engine
Network shares ❌ Not supported ✅ Samba/NFS ❌ Not supported ✅ Samba/NFS
Internet Outbound HTTPS (port 443) to api.anthropic.com — required for AI queries.
Network ports 80 and 443 inbound — only needed if accessed from other PCs on the network.

2b How Many Documents Can Weld AI Handle?

Weld AI can index any number of documents — the practical limit depends on your server's RAM and storage. Use the table below to check your setup is appropriate for your document collection.

Document collection Min RAM Recommended RAM Initial index time*
Small — up to 50 documents 8GB 8GB Under 5 minutes
Medium — 50–200 documents 8GB 16GB 5–20 minutes
Large — 200–500 documents 16GB 16GB+ 20–60 minutes
Very large — 500+ documents Contact us before purchase — we will advise on hardware and configuration.

* Estimated times for typical mixed documents on a 16GB RAM server with local storage. Actual times depend heavily on hardware — see measured results below.

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Indexing only runs once — updates are fast The initial index build can take time for large collections. After that, Weld AI detects new or changed files and only re-indexes what has changed. Adding a single document to a 50-doc collection takes a fraction of the original index time. Day-to-day queries are instant regardless of document volume.
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Network shares (Samba) add indexing time If documents are on a Windows file server mounted via Samba, indexing is slower than local storage. For large collections over a network share, we recommend scheduling the initial index outside business hours. We will advise during the installation call.
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Measured results — constrained test hardware The following times were measured on a restricted test VM (3.3GB RAM, Samba network mount) — this represents a worst-case scenario. A properly specified server with 16GB RAM and local storage will be significantly faster (estimated 5–10× improvement).
Scenario Documents Chunks Time (constrained)
First full build (incl. model download) 5 large PDFs 1,375 ~18 minutes
Subsequent full rebuild 5 large PDFs 1,375 ~17 minutes
Incremental update (1 new file added) 1 of 6 275 ~3 minutes

Test hardware: Ubuntu VM, 3.3GB RAM, documents on Samba network share, 5MB PDFs (~275 pages each). Model: BAAI/bge-base-en-v1.5.

3 Where Are Your Documents?

Understanding where your documents are stored determines the best install type. Weld AI reads documents from a folder on the server — the table below shows what is and isn't supported.

Document Location Windows PC / Server (Direct) Windows Server + Ubuntu VM Linux Server
Local drive (C:\, D:\, E:\ etc.) ✅ Supported ✅ Supported ✅ Supported
USB / external drive ✅ Supported — must stay connected ✅ Supported ✅ Supported
OneDrive / SharePoint synced folder ✅ Supported — files must be set to "Always keep on this device" ⚠️ Complex ⚠️ Complex
Network mapped drive (e.g. U:\) ❌ Not supported ✅ Supported via Samba — domain credentials needed for corporate networks ✅ Supported via NFS/Samba — domain credentials needed for corporate networks
UNC path (\\server\share) ❌ Not supported ✅ Supported via Samba — domain credentials needed for corporate networks ✅ Supported via NFS/Samba — domain credentials needed for corporate networks
File server (documents only on server) ⚠️ Copy or sync needed ✅ Best option — install Weld AI on the file server ✅ Supported
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Network mapped drives on Windows — not supported Docker on Windows cannot access network mapped drives (e.g. U:\docs) or UNC paths (e.g. \\server\documents). This is a fundamental Docker on Windows limitation. If your documents are on a file server, the recommended solution is the Windows Server + Ubuntu VM install type — Ubuntu can mount Windows file server shares directly via Samba, giving Weld AI full access to your documents without copying. We will advise on the best approach during your pre-installation review.
Windows Server + Ubuntu VM — full network share support (tested) The Ubuntu VM can mount Windows file server shares directly using Samba. Weld AI indexes documents live from the share — no copying or syncing required. Tested with corporate domain credentials. This is the recommended install type for customers whose documents are on a file server.
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OneDrive / SharePoint users If your documents are in a OneDrive or SharePoint synced folder, you must ensure the folder is set to "Always keep on this device" before indexing. Cloud-only files (shown with a ☁️ icon in File Explorer) are not stored locally and cannot be indexed.

To fix: right-click your documents folder in File Explorer → Always keep on this device. All files will show a ✅ green tick when ready.
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Documents on a file server — Windows PC workaround If you have a Windows PC install but documents are on a file server, they can be synced automatically using a scheduled robocopy task:

robocopy \\server\share C:\WeldAI\docs /MIR /Z

This mirrors your network share to a local folder nightly. Weld AI then indexes from the local copy. We can set this up during installation.

Better alternative: if you have a server, the Windows Server + Ubuntu VM install type gives live access to network shares with no copying needed.

4 Run the Automated System Check

The script checks your system automatically and saves a zip file to your Desktop. Takes about 30 seconds. Run this on the machine where Weld AI will be installed.

⬇ Download weldai-diagnostics.ps1

PowerShell script  ·  No installation  ·  No changes made to your system

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Your browser may warn "this file could harm your device" — this is normal and safe to dismiss Windows and browsers flag all PowerShell scripts downloaded from the web, regardless of their content. This script only reads information from your system and makes no changes. Click Keep (Edge/Chrome) or Keep anyway to proceed with the download.
1
Save to your Desktop

Download weldai-diagnostics.ps1 and save it to your Desktop. If your browser warns the file could be harmful, click Keep to proceed — this warning appears for all PowerShell scripts.

2
Right-click → Run with PowerShell

Right-click the file and select Run with PowerShell. If asked about execution policy, type R and press Enter. No administrator rights needed.

3
Email the zip file

A file called weldai-diagnostics.zip will appear on your Desktop. Email it to hello@weldai.uk with subject: Pre-Install — [your company name].

5 IT Team Checklist

The automated script cannot check these items without Administrator rights. Please ask your IT contact to confirm the following and include their answers in your email.

🖥️ All install types

🪟 Windows PC / Windows Server (Direct) — additional checks

🖥️🐧 Windows Server + Ubuntu VM — additional checks

Before You Book

Please confirm all of the following before emailing us to book your installation call. Include this confirmation in your email.

Once all boxes are ticked — email us to book Send your diagnostics zip and completed form below to hello@weldai.uk with subject: Pre-Install — [your company name].

6 Installation Information

Please provide the following information in your email. This allows us to prepare your configuration in advance so the installation call is as quick as possible.

📋 Please include in your email to hello@weldai.uk

Select the option that best matches your setup from Section 1 above.

Weld AI uses the Anthropic Claude API to answer questions from your documents. You will need an API key before installation.

How to get your API key:

  1. Go to console.anthropic.com and create an account (or sign in).
  2. Go to API Keys and create a new key.
  3. Copy the key — you will only see it once. Keep it safe.
  4. Add a payment method under Billing — usage costs are typically a fraction of a penny per query.
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Data protection note When you create an Anthropic API account and accept their Commercial Terms, Anthropic's Data Processing Agreement (DPA) is automatically included. This DPA covers UK data transfers via the UK International Data Transfer Agreement (IDTA). Anthropic does not use API data to train its models. If your firm has a Data Protection Officer or compliance requirements, you may wish to share Anthropic's DPA with them before installation.

The name shown in the app header.

Approximate number — helps us advise on hardware and access configuration.

The full path to the folder containing your company documents. See Section 3 for supported locations.

The app shows up to 4 suggested question buttons on the home screen. Leave blank and we will suggest some based on your documents.

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Email your answers + diagnostics zip to hello@weldai.uk Subject: Pre-Install — [your company name]. Not sure about any of these? Don't worry — email what you can and we will work through the rest on a quick pre-call.