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    "info": {
        "author": "Harold Gomez",
        "author_email": "haroldgmz11@gmail.com",
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        "description": "# AquilaDB-Python\n\nPython client library for AquilaDB  \n\n#### install\n\n`pip install aquiladb`\n\n#### usage\n\n```\n# import AquilaDB client\nfrom aquiladb import AquilaClient as acl\n\n# create DB instance\ndb = acl('localhost', 50051)\n\n# convert a sample document\n# convertDocument\nsample = db.convertDocument([0.1,0.2,0.3,0.4], {\"hello\": \"world\"})\n\n# add document to AquilaDB\ndb.addDocuments([sample])\n\n# create a k-NN search vector\nvector = db.convertMatrix([0.1,0.2,0.3,0.4])\n\n# perform k-NN from AquilaDB\nk = 10\nresult = db.getNearest(vector, k)\n```\n\n# AquilaDB\n\n**AquilaDB** is a **Resillient**, **Replicated**, **Decentralized**, **Host neutral** storage for **Feature Vectors** along with **Document Metadata**. Do **k-NN** retrieval from anywhere, even from the darkest rifts of Aquila (in progress). It is easy to setup and scales as the universe expands.\n\nGithub: [https://github.com/a-mma/AquilaDB](https://github.com/a-mma/AquilaDB)\n\nDocker Hub: [https://hub.docker.com/r/ammaorg/aquiladb](https://hub.docker.com/r/ammaorg/aquiladb)\n\nDocumentation (dedicated Wiki page): [https://github.com/a-mma/AquilaDB/wiki](https://github.com/a-mma/AquilaDB/wiki)\n\n![constellation](http://astronomyonline.org/Observation/Images/Constellations/ConstellationBig/Aquila.gif)\n\n#### Resillient\nMake sure your data is always available anywhere through any network. It is not necessory to be always online. Work offline, sync later.\n\n#### Replicated\nYour data is replicated over nodes to attain eventual consistency. \n\n#### Decentralized\nThere is no single point of failure.\n\n#### Host Neutral\nWant to use AWS, Azure, G-cloud or whatever? Got a legion of laptops? Connect them together? No worries as long as they can talk each other.\n\n# Who is this for\n* If you are working on a data science project and need to store a hell lot of data and retrieve similar data based on some feature vector, this will be a useful tool to you, with extra benefits a real world web application needs.\n* Are you dealing with a lot of images and related metadata? Want to find the similar ones? You are at the right place.\n* If you are looking for a document database, this is not the right place for you.\n\n# Technology\nAquilaDB is not built from scratch. Thanks to 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 Science Engineers. While **CouchDB** provides us network and scalability benefits, **FAISS** provides superfast similarity search. Along with our peer management service, AquilaDB provides a unique solution.\n\ncreated with \u2764\ufe0f a-mma.indic (a_\u0d2e\u0d4d\u0d2e)\n\n\n",
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