Dabarqus

What is Dabarqus ?

Dabarqus gives you a practical way to add retrieval-augmented generation (RAG) to your app in less than 9 lines of code. Chat with your PDFs, summarize emails and messaging, and digest a vast range of facts, figures, and reports. A dash of genius for your LLM.

What is the usage scenario of Dabarqus ?

1. Integrating diverse data sources such as PDFs, emails, and databases into AI applications.
2. Utilizing Retrieval Augmented Generation (RAG) to enhance the capabilities of large language models (LLMs) in real-time.
3. Organizing and managing data through semantic indexes (memory banks) for easy retrieval and use in various applications.
4. Developing applications that require seamless interaction with LLMs using simple prompts without the need for complex query languages.
5. Building integrations with existing development tools using REST APIs and SDKs for Python and JavaScript.

What are the highlights of Dabarqus ?

1. Rapid ingestion of various document types and data sources into memory banks.
2. User-friendly LLM-style prompting for data retrieval, simplifying the interaction with AI models.
3. REST API for comprehensive control and integration with existing systems.
4. Multiple semantic indexes to keep data organized by categories or subjects.
5. Native SDKs available for Python and JavaScript for easy integration into projects.
6. Produces LLM-ready output compatible with popular LLM providers like ChatGPT and Ollama.