📄️ 🤝 Contributing Tutorials
We appreciate your interest in contributing tutorials to the MANTA documentation. Follow the steps below to set up your environment and submit your tutorial.
📄️ 🔎 MANTA RAG Tutorial
In this tutorial, you will learn how to use Retrieval-Augmented Generation (RAG) with MANTA to load real-world documentation as a knowledge base. We will walk through how to use the latest MANTA Documentation as an example for this setup.
📄️ ✂️ Reduce RAM Usage
If you are deploying this image in a RAM-constrained environment, there are a few things you can do to slim down the image.
📄️ 💠 Database schema
For MANTA, the SQLite database serves as the backbone for user management, chat history, file storage, and various other core functionalities. Understanding this structure is essential for anyone looking to contribute to or maintain the project effectively.
📄️ ⚡ Improve Local LLM Performance with Dedicated Task Models
Manta provides several automated features—such as title generation, tag creation, autocomplete, and search query generation—to enhance the user experience. However, these features can generate multiple simultaneous requests to your local model, which may impact performance on systems with limited resources.