What is Dabarqus?
Dabarqus offers a comprehensive Retrieval Augmented Generation (RAG) solution designed to make private data accessible to Large Language Models (LLMs) in real-time. It allows users to ingest diverse data sources such as PDFs, emails, and raw data into organized semantic indexes called memory banks. This process enables interaction with these documents using simple, conversational LLM-style prompts, eliminating the need for complex query languages.
The platform features a REST API and Software Development Kits (SDKs) for Python and Javascript, facilitating seamless integration with existing development tools and workflows. Dabarqus produces LLM-ready output compatible with various LLM providers like ChatGPT and Ollama. It is available as a downloadable application for Linux, macOS, and Windows, offering a streamlined approach to implementing RAG capabilities.
Features
- Document Ingestion: Ingest diverse data-sources like PDFs, emails, and raw data.
- LLM-Style Prompting: Use simple, conversational prompts to retrieve relevant data.
- REST API: Control interface for model downloading, semantic index prompting, and LLM inference.
- Multiple Semantic Indexes: Organize data into separate, portable memory banks.
- SDKs: Native SDKs available in Python and Javascript for easy integration.
- LLM-Friendly Output: Generates output compatible with ChatGPT, Ollama, and other LLM providers.
Use Cases
- Querying private document collections using natural language.
- Integrating private data sources with Large Language Models.
- Building custom AI applications with access to specific datasets.
- Organizing and searching large volumes of documents by subject matter.
- Developing chatbots that can reference internal knowledge bases.
FAQs
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What is RAG?
RAG stands for Retrieval Augmented Generation, a framework for making private data available to AI large language models in real time. -
What data sources can Dabarqus ingest?
Dabarqus can ingest diverse data sources like PDFs, emails, and raw data, depending on the edition. -
How does Dabarqus retrieve information?
Dabarqus retrieves relevant data using simple, LLM-style prompts given to the LLM, without requiring special query languages. -
What platforms does Dabarqus run on?
Dabarqus is available for download on Linux, macOS, and Windows.
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