Zero to RAG in minutes.
Dabarqus is designed to deliver state-of-the-art RAG on-premise at a fraction of the cost of building from scratch.
Zero to RAG
in minutes.
Dabarqus is designed to deliver state-of-the-art RAG on-premise at a fraction of the cost of building from scratch.
All-in-One RAG solution
Dabarqus streamlines the entire RAG process by integrating four essential components into a single, powerful solution.
How Dabarqus Works
Our all-in-one RAG solution is so simple that we can explain it in three steps:
Effortlessly ingest and store your documents with Dabarqus. Our comprehensive solution handles various file types, ensuring your data is securely stored and readily accessible for retrieval.
# Store documents in a memory bank
curl -X GET "${DABARQUS_SERVER}/api/silk/store" \
-H "Content-Type: application/json" \
--data-urlencode "input-path=/path/to/your/documents" \
--data-urlencode "memory-bank=my_documents"
# Store documents in a memory bank
barq store --input-path="/path/to/your/documents" --memory-bank=my_documents
Instantly access the most relevant information from your stored documents. Dabarqus’s advanced query processing ensures you get precise, context-aware results every time.
# Retrieve information from the memory bank
curl -X GET "${DABARQUS_SERVER}/api/silk/query" \
-H "Content-Type: application/json" \
--data-urlencode "q=Tell me about the documents" \
--data-urlencode "limit=3" \
--data-urlencode "memorybank=my_documents"
# Retrieve information from the memory bank
barq retrieve --memory-bank=my_documents --query "When did I travel to Florida?"
Incorporate Dabarqus’s powerful RAG capabilities into your existing workflows with ease. Our modern REST API and versatile CLI tool make integration simple across various platforms and languages.
Here’s an example of how easy it is with a Python-based chatbot we’ve put together using Dabarqus. It will be available upon release of Dabarqus if you want to try it out.
Benefits of Dabarqus
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High ROI
Dabarqus is designed to deliver state-of-the-art RAG (Retrieval-Augmented Generation) on-premise at a fraction of the cost of building from scratch.
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Local and Private
Dabarqus runs entirely on your own hardware, be it a PC, laptop, server, or owned-cloud infrastructure. This ensures that your data never leaves your control, addressing data privacy concerns.
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Zero Dependencies
Dabarqus is a standalone C++ application with everything built-in. It has no external dependencies, which simplifies installation and eliminates complexity.
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Easy Integration
Dabarqus features a REST API with JSON output, facilitating smooth integration with existing systems and LLMs (Large Language Models).
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Enhanced AI Compatibility
The search results can be easily used with various AI models to generate more informed responses.
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Reduced Engineering Costs
By offering a state-of-the-art, commercial off-the-shelf (COTS) RAG solution, Dabarqus reduces the need for teams to spend time implementing RAG themselves.
Dabarqus is almost ready for download.
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