[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"readme:falkordb":3},"\u003Cdiv align=\"center\">\n  \u003Cimg width=\"100\" height=\"100\" alt=\"FalkorDB Logo Square B\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fec67e5e3-a060-405d-b229-1fe2badcf8ad\" \u002F>\n\u003C\u002Fdiv>\n\u003Cdiv align=\"center\">\n  \u003Ch1>FalkorDB\u003C\u002Fh1>\n  \u003Ch2>Ultra-fast, Multi-tenant Graph Database\u003C\u002Fh2>\n  \u003Ch3>Powering Generative AI, Agent Memory, Cloud Security, and Fraud Detection\u003C\u002Fh3>\n\u003Ca href=\"https:\u002F\u002Ftrendshift.io\u002Frepositories\u002F14787\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Ftrendshift.io\u002Fapi\u002Fbadge\u002Frepositories\u002F14787\" alt=\"FalkorDB%2FFalkorDB | Trendshift\" width=\"250\" height=\"55\" \u002F>\u003C\u002Fa>\n\u003C\u002Fdiv>\n\u003Cdiv align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fapp.falkordb.cloud\u002Fsignup\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FTry%20Free-FalkorDB%20Cloud-FF8101?labelColor=FDE900&style=for-the-badge\" alt=\"Try Free\" \u002F>\n  \u003C\u002Fa>\u003Cbr \u002F>\n  \u003Ca href=\"https:\u002F\u002Fdiscord.com\u002Finvite\u002FTJ4SaPTptf\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-%235865F2.svg?&logo=discord&logoColor=white\" alt=\"Discord\" \u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fhub.docker.com\u002Fr\u002Ffalkordb\u002Ffalkordb\u002F\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fpulls\u002Ffalkordb\u002Ffalkordb?label=Docker\" alt=\"Dockerhub\" \u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fcodecov.io\u002Fgh\u002FFalkorDB\u002FFalkorDB\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fcodecov.io\u002Fgh\u002FFalkorDB\u002FFalkorDB\u002Fbranch\u002Fmain\u002Fgraph\u002Fbadge.svg?token=0G4HBEJMW0\" alt=\"codecov\" \u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FFalkorDB\u002FFalkorDB\u002Factions\u002Fworkflows\u002Frust-push.yml\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002FFalkorDB\u002FFalkorDB\u002Factions\u002Fworkflows\u002Frust-push.yml\u002Fbadge.svg?branch=main\" alt=\"Rust\" \u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FFalkorDB\u002FFalkorDB\u002Fblob\u002Fmain\u002FLICENSE\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-Server_Side_Public_License-green\" alt=\"license\" \u002F>\n  \u003C\u002Fa>\n\u003C\u002Fdiv>\u003Cdiv align=\"center\">\u003Cp>\u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F131867d4-fa2b-41f8-ac72-5c5f6eaf4e12\" alt=\"FalkorDB GitHub Repo - Video - 640x365\" \u002F>\u003C\u002Fp>\n\u003C\u002Fdiv>\u003Ch2>UNIQUE FEATURES\u003C\u002Fh2>\n\u003Cp>Our goal is to build a high-performance Knowledge Graph tailored for Large Language Models (LLMs), prioritizing exceptionally low latency to ensure fast and efficient information delivery through our Graph Database.\u003C\u002Fp>\n\u003Cp>🆕 \u003Ca href=\"https:\u002F\u002Fwww.falkordb.com\u002F\" rel=\"nofollow ugc noopener\">FalkorDB\u003C\u002Fa> is the first \u003Cstrong>queryable \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fopencypher\u002FopenCypher\u002Fblob\u002Fmaster\u002Fdocs\u002Fproperty-graph-model.adoc\" rel=\"nofollow ugc noopener\">Property Graph\u003C\u002Fa> database to leverage sparse matrices\u003C\u002Fstrong> for representing the \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FAdjacency_matrix\" rel=\"nofollow ugc noopener\">adjacency matrix\u003C\u002Fa> in graphs and \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FAdjacency_matrix\" rel=\"nofollow ugc noopener\">linear algebra\u003C\u002Fa> for querying.\u003C\u002Fp>\n\u003Ch3>Key Features\u003C\u002Fh3>\n\u003Cul>\n\u003Cli>\u003Cp>\u003Cstrong>Sparse Matrix Representation\u003C\u002Fstrong>: Utilizes sparse matrices to represent adjacency matrices, optimizing storage and performance.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli>\u003Cp>\u003Cstrong>Linear Algebra Querying\u003C\u002Fstrong>: Employs linear algebra for query execution, enhancing computational efficiency.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli>\u003Cp>\u003Cstrong>Property Graph Model Compliance\u003C\u002Fstrong>: Supports nodes and relationships with attributes, adhering to the Property Graph Model.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli>\u003Cp>\u003Cstrong>OpenCypher Support:\u003C\u002Fstrong> Compatible with \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fopencypher\u002FopenCypher\u002Fblob\u002Fmaster\u002Fdocs\u002Fproperty-graph-model.adoc\" rel=\"nofollow ugc noopener\">OpenCypher\u003C\u002Fa> query language, including proprietary extensions for advanced querying capabilities.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cblockquote>\n\u003Cp>Explore FalkorDB in action by visiting the \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FFalkorDB\u002FFalkorDB\u002Ftree\u002Fmaster\u002Fdemo\" rel=\"nofollow ugc noopener\">Demos\u003C\u002Fa>.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2>GET STARTED\u003C\u002Fh2>\n\u003Ch3>Step 1\u003C\u002Fh3>\n\u003Cp>To quickly try out FalkorDB, launch an instance using docker:\u003C\u002Fp>\n\u003Cpre>\u003Ccode>docker run -p 6379:6379 -p 3000:3000 -it --rm -v .\u002Fdata:\u002Fvar\u002Flib\u002Ffalkordb\u002Fdata falkordb\u002Ffalkordb\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003Ch3>Step 2\u003C\u002Fh3>\n\u003Cp>Then, open your browser and navigate to \u003Ccode>http:\u002F\u002Flocalhost:3000\u003C\u002Fcode>.\u003C\u002Fp>\n\u003Cp>You can also interact with FalkorDB using any of the supported \u003Ca href=\"https:\u002F\u002Fdocs.falkordb.com\u002Fclients.html\" rel=\"nofollow ugc noopener\">Client Libraries\u003C\u002Fa>\u003C\u002Fp>\n\u003Ch3>MotoGP League Example\u003C\u002Fh3>\n\u003Cp>In this example, we'll use the \u003Ca href=\"https:\u002F\u002Fpypi.org\u002Fproject\u002FFalkorDB\u002F\" rel=\"nofollow ugc noopener\">FalkorDB Python client\u003C\u002Fa> to create a small graph representing a subset of motorcycle riders and teams participating in the MotoGP league. After creating the graph, we'll query the data to explore its structure and relationships.\u003C\u002Fp>\n\u003Cpre>\u003Ccode class=\"language-python\">fr\n\u003C\u002Fcode>\u003C\u002Fpre>\n",1791762979736]