<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GraphBLAS on SoloSoft</title><link>https://www.solosoft.dev/tags/graphblas/</link><description>Recent content in GraphBLAS on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/graphblas/index.xml" rel="self" type="application/rss+xml"/><item><title>FalkorDB: Ultra-Fast Open-Source Graph Database for Knowledge Graphs and GraphRAG</title><link>https://www.solosoft.dev/post/falkordb-graph-database-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/falkordb-graph-database-2026/</guid><description>&lt;p&gt;&lt;a href="https://github.com/FalkorDB/FalkorDB"&gt;FalkorDB&lt;/a&gt; is an ultra-fast, open-source multi-tenant property graph database built specifically for &lt;strong&gt;LLM Knowledge Graphs&lt;/strong&gt; and &lt;strong&gt;GraphRAG&lt;/strong&gt; (Graph-based Retrieval-Augmented Generation). As the direct successor to RedisGraph &amp;ndash; which was discontinued by Redis Inc. in 2023 &amp;ndash; FalkorDB has been adopted by a growing community of AI practitioners who need graph database performance optimized for the age of large language models.&lt;/p&gt;
&lt;p&gt;Under the hood, FalkorDB uses &lt;strong&gt;sparse matrix operations&lt;/strong&gt; via the GraphBLAS standard to represent and query graph adjacency matrices. This approach is fundamentally different from the index-based traversal used by most graph databases, and it is the key to FalkorDB&amp;rsquo;s millisecond-latency query performance even on graphs with millions of nodes.&lt;/p&gt;</description></item></channel></rss>