Rubra
4.57
0
Rubra builds local AI assistants, emphasizes privacy, and supports multiple pre-trained models.
What is Rubra?
Rubra is an open-source platform designed for building local AI assistants. It provides a cost-effective solution that allows developers to create AI-powered applications without the need for API tokens. Rubra offers several benefits such as working locally, saving tokens, and ensuring data privacy by running all processes on the user's local machine. It integrates a user-friendly chat UI for efficient interaction with models and supports multi-channel data processing. Compared to OpenAI's ChatGPT, Rubra stands out for its local development focus, privacy emphasis, integrated LLMs, and flexibility between local and cloud development.
Rubra includes various pretrained AI models optimized for local development, such as Mistral-7B, Phi-3-mini-128k, and Qwen2-7B. These models are enhanced from top open-source LLMs and enable developers to interact with them locally. Rubra also supports the integration of OpenAI and Anthropic models, allowing developers to choose between different AI models based on their specific needs.
Additionally, Rubra's user-friendly chat interface enables effective communication with AI assistants and models. It offers an API that is compatible with OpenAI's Assistants API, facilitating seamless transitions between local and cloud development environments. Rubra's privacy-focused design ensures that all processes remain on the user's local machine, safeguarding chat histories and data privacy.
Furthermore, Rubra allows contributions and feedback from the community through its GitHub repository, welcoming bug reports and code submissions to enhance the tool's capabilities. By providing a platform for local testing of AI assistants, developers can evaluate performance within a realistic setting while maintaining privacy and data security.
Who created Rubra?
Rubra was created by the Rubra team. It was launched on February 14, 2024, as an open-source platform for building local AI assistants. The platform was founded to enable developers to create AI-powered applications in a cost-effective and private manner, eliminating the need for API tokens. Rubra's focus is on enabling the development of AI assistants powered by locally running, open-source large language models (LLMs).
What is Rubra used for?
- Ensuring data privacy
- Building local AI assistants
- Creating AI-powered applications
- Working in a cost-effective and private manner
- Comparing assistant performance across different models
- Calling user-defined external tools in a deterministic manner
- Ideal for agentic use cases
- Enhancing open-weight large language models with tool-calling capability
- Mitigating catastrophic forgetting in models
- Running Rubra models locally
- Contributing to Rubra's development
- Creating AI-powered applications in a cost-effective and private manner without the need for API tokens
- Working locally to save tokens and ensure data privacy
- Accessing built-in open-source Large Language Models (LLMs)
- Bypassing the need for tokens during API calls
- Focusing on the development of AI assistants
- Interchanging between local and cloud development
- Calling user-defined external tools in a deterministic manner while reasoning and chatting
- Enhancing top open-weight large language models with tool-calling capability
- Interacting with models locally
- Enhancing large language models with tool-calling capability
- Facilitating agentic use cases
- Running Rubra models easily
- Creating AI-powered applications in a cost-effective manner
- Working locally without API tokens
- Accessing built-in open-source LLMs
- Calling user-defined external tools
Who is Rubra for?
- Developers
- AI-powered application creators
- AI Application Creators
- AI developers
- Assistants developers
- AI Programmers
- Chatbot developers
- AI researchers
- Application Developers
- AI Assistants
How to use Rubra?
To use Rubra, follow these steps:
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Begin by installing Rubra with a simple one-command installation using:
curl -sfL https://get.rubra.ai | sh -s -- start. -
Create and tweak AI assistant models using the fully integrated Large Language Model (LLM), specifically based on the Mistral model.
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Interact with models locally via the user-friendly chat interface provided by Rubra.
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Utilize the API compatible with OpenAI's Assistants API to easily transition between local and cloud development.
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Ensure data privacy as all processes run locally on your machine, safeguarding chat histories and preventing data transfer to external servers.
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Access pre-configured open-source LLMs, including Mistral-based models, and the ability to integrate other models like those from OpenAI and Anthropic.
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Test AI assistants locally, evaluating their performance under real-world conditions without leaving the safety of your own machine.
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Explore the documentation available on the Rubra website for additional guidance and details on features, installation, and more.
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For assistance and issue resolution, engage with the Rubra community via GitHub or the Discord channel.
These steps will help you effectively leverage Rubra's capabilities for developing AI-powered applications locally with privacy, cost-effectiveness, and efficiency.
Pros
- Open-source
- API calls without tokens
- Built-in LLMs optimized
- Multi-channel data processing
- User-friendly chat UI
- Operates on local machine
- Protects chat history privacy
- Github repository for contributions
- Integrated local agent development
- Encourages community participation
Cons
- Local only - no cloud
- Not out-of-box ready
- Limited model support
- Community dependent updates
- Requires manual installation
- Assumes development proficiency
Rubra FAQs
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What is the purpose of Rubra?
- Rubra serves as a full-stack platform for building local AI assistants. It's designed to allow developers to create AI-powered applications in a cost-effective and private manner, bypassing the need for API tokens.
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How does Rubra's design benefit developers?
- Rubra is designed to benefit developers by allowing them to work locally, save tokens, and ensure data privacy. The tool integrates a fully configured open-source LLM, enabling developers to start creating as soon as they deploy the software.
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What advantages does Rubra offer compared to OpenAI's ChatGPT?
- Rubra offers several advantages compared to OpenAI's ChatGPT, including working locally, ensuring data privacy and reducing costs, access to built-in open-source LLMs, bypassing the need for tokens during API calls, a larger focus on the development of AI assistants, and allowing interchange between local and cloud development.
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What does Rubra mean by 'work locally, save your tokens'?
- 'Work locally, save your tokens' in Rubra refers to the capability that lets developers develop and test AI applications on their own machines rather than using the cloud, saving the need for API tokens.
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What AI models are pre-configured within Rubra?
- Rubra includes a fully configured open-source Large Language Model (LLM) based on the Mistral model optimized for local development, as well as support for integrating OpenAI and Anthropic models.
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What features does Rubra's user-friendly chat UI offer?
- Rubra provides a simple, user-friendly chat interface that allows developers to converse effectively with their AI assistants and models, facilitating streamlined development and interaction.
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Does Rubra provide an API similar to OpenAI's?
- Yes, Rubra provides an API compatible with OpenAI's Assistants API, enabling developers to conveniently shift between local and cloud development.
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How can I contribute to Rubra's development?
- Contributions to Rubra's development are encouraged, and users can participate by reporting bugs, submitting code, and engaging with discussions on Rubra's GitHub repository.
Get started with Rubra
Rubra reviews
Haruto Sakamoto
February 18, 2025
What do you like most about using Rubra?
The emphasis on privacy is what sets Rubra apart. I appreciate that everything runs on my local machine, ensuring that my data stays secure.
What do you dislike most about using Rubra?
There are moments when I encounter bugs, but the community support on GitHub is always there to help.
What problems does Rubra help you solve, and how does this benefit you?
Rubra allows me to build customized AI solutions for my clients without compromising their data security, which is a huge selling point for my business.
How would you rate Rubra?
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Aiko Suzuki
February 3, 2025
What do you like most about using Rubra?
The flexibility to switch between local and cloud models is a major advantage for my development needs!
What do you dislike most about using Rubra?
The installation process could be simplified for new users; it can feel a bit daunting.
What problems does Rubra help you solve, and how does this benefit you?
Rubra enables me to build AI applications that are not only secure but also efficient, allowing for better user interactions.
How would you rate Rubra?
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Ali Al-Mansour
January 10, 2025
What do you like most about using Rubra?
The local processing capabilities ensure that sensitive data never leaves my machine, which is crucial for my projects.
What do you dislike most about using Rubra?
I think the integration options with other platforms could be expanded to enhance functionality.
What problems does Rubra help you solve, and how does this benefit you?
Rubra allows me to develop AI solutions that prioritize user privacy and security, which is essential in today's digital age.
How would you rate Rubra?
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