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Documentation Index

Fetch the complete documentation index at: https://docs.tensormesh.ai/llms.txt

Use this file to discover all available pages before exploring further.

Tensormesh offers two primary channels for getting help: our ticketing system for tracked support requests and our Slack community for real-time collaboration.

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Support Tickets

Support tickets provide a formal, tracked way to get help from the Tensormesh team. Each ticket is assigned a unique identifier and tracked through resolution.

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Creating a Support Ticket

1

Navigate to Contact Us

Go to the Contact Us page in your Tensormesh dashboard
2

Click New Ticket

Click the “New Ticket” button in the top right corner
3

Select Category

Choose the appropriate category:
Use this category when reporting issues or unexpected behavior. Include reproduction steps, error messages, and your environment configuration to help us diagnose the problem quickly.
For general questions about using Tensormesh, configuration options, or clarification on features. If you need quick answers, consider asking in Slack first.
Submit ideas for new features or improvements to existing functionality. Describe the use case, expected behavior, and how it would benefit your workflow.
For inquiries that don’t fit other categories, such as partnership opportunities, general feedback, or other non-technical topics.
4

Provide Details

Include a clear, descriptive title and detailed information:
  • Steps to reproduce (for bugs)
  • Expected vs actual behavior
  • Environment details (deployment type, model, configuration)
  • Relevant logs or error messages
5

Attach Files (Optional)

Add screenshots, log files, or other supporting documents to help the team diagnose your issue faster.

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Ticket Lifecycle

Open

Ticket has been created and is awaiting response from the support team

In Progress

A team member is actively working on your ticket

Waiting for Response

We’ve replied and are waiting for additional information from you

Closed

The issue has been resolved or the question has been answered

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Slack Community

The Tensormesh Slack community is an active workspace where users, developers, and the Tensormesh team collaborate in real-time.

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Why Join Our Slack Community?

Community Support

Get answers from experienced users across different time zones.

Direct Access

Tensormesh engineers actively participate and answer technical questions.

Real-Time Collaboration

Immediate back-and-forth conversations for troubleshooting and brainstorming.

Early Access

Be the first to hear about new features, beta programs, and platform updates.

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Getting Started on Slack

Join our Slack workspace: tensormesh.slack.com
1

Get Your Invite

Click the link above or use the invite link provided in Contack Us → Slack Community
2

Sign In

Create a Slack account or sign in with an existing account
3

Complete Your Profile

Add your name and a brief description of your use case

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Community Guidelines

Please follow these guidelines to keep our community welcoming and productive:
  • Be respectful — Treat all community members with courtesy and professionalism
  • Stay on topic — Use the appropriate channel for your question or discussion
  • Share knowledge — If you solve a problem, share the solution to help others
  • No spam or self-promotion — Keep discussions focused on Tensormesh and related technologies
  • Keep it public — Ask questions in channels rather than DMs so everyone can learn