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dRAGon

dRAGon is a multi-modal RAG engine which can search over multiple kind of documents to generate good quality answers for LLMs.

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Financial Contributions

Recurring contribution
🐉 dRAGon Baker

Join us in building a smart, open-source, community-first project. More backers mean more time spent on the project.

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€1 EUR / month

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Top financial contributors

1
Body Count

192 EUR since Jul 2024

2
Incognito

12 EUR since Sep 2024

dRAGon is all of us

Our contributors 4

Thank you for supporting dRAGon.

Body Count

€192 EUR

Incognito

🐉 dRAGon Baker

€12 EUR

Budget


Transparent and open finances.

Credit from Incognito to dRAGon

+€12.00EUR
Completed
Contribution #794206
-€9.08 EUR
Paid
Reimbursement #219780
-€18.00 EUR
Paid
Reimbursement #203345
Today’s balance

€135.60 EUR

Total raised

€179.80 EUR

Total disbursed

€44.20 EUR

Estimated annual budget

€204.00 EUR

About


dRAGon (Dynamic Retrieval Augmented Generation for Optimized Nimble) is a versatile Retrieval-Augmented Generation (RAG) engine that enhances the capabilities of Language Model-based applications. 

By enabling comprehensive searches across various document types, dRAGon generates high-quality answers that improve decision-making processes for individuals, organizations, and enterprises. 

Our platform empowers multiple technologies, including JavaScript, Java, Docker, and AI frameworks like LangChain4j, making it a robust tool for diverse use cases. 

As an open-source project, dRAGon encourages community participation, allowing users to fork, extend, and contribute to its development. This collaborative approach ensures continuous improvement and widespread access to cutting-edge information retrieval technology. 

Join us in building a smarter, more connected world through dRAGon.

Our team