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freakeinstein authored Sep 19, 2021
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# Aquila DB
<div align="center">
<a href="https://aquila.network">
<img
src="https://user-images.githubusercontent.com/19545678/133918727-5a37c6be-676f-427b-8c86-dd50f58d1287.png"
alt="Aquila Network Logo"
height="64"
/>
</a>
<br />
<p>
<h3>
<b>
Aquila DB
</b>
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<p>
<b>
Easy to use Neural Search Engine
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**[Aquila DB](https://github.com/Aquila-Network/AquilaDB)** is a Neural search engine. In other words, it is a database to index **Latent Vectors** generated by ML models along with **JSON Metadata** to perform **k-NN** retrieval. It is dead simple to set up, language-agnostic, and drop in addition to your Machine Learning Applications. Aquila DB, as of current features is a ready solution for Machine Learning engineers and Data scientists to build **[Neural Information Retrieval](https://www.microsoft.com/en-us/research/uploads/prod/2017/06/INR-061-Mitra-neuralir-intro.pdf)** applications out of the box with minimal dependencies.


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* If you are looking for a document database, this is not the right place for you.

# Technology
Aquila DB is not built from scratch. Thanks to the OSS community, it is based on a couple of cool open source projects out there. We took a couch and added some wheels and jetpacks to make it a super cool butt rest for Data Scientists and ML Engineers. While **Couch DB** provides us network and scalability benefits, **FAISS** and **Annoy** provides superfast similarity search. Along with our peer management service, Aquila DB provides a unique solution.
Aquila DB powers search features of Aquila Network. Here is where Aquila DB fits in the entire ecosystem:
<div align="center">
<img
src="https://user-images.githubusercontent.com/19545678/133918438-997af8ec-67ef-4f7c-95ab-16d2f28e79e3.png"
alt="Aquila DB Architecture"
height="400"
/>
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</div>



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