All about the Model Context Protocol (MCP) in the realm of graph databases and analytics. Enhancing data relationships and queries within the Neo4j ecosystem by understanding MCP, you can optimize data retrieval processes and improve the efficiency of complex network analyses. Delving into MCP offers insights into how contextual data can be effectively harnessed to drive more informed decision-making and innovative solutions. #GraphDatabase #DataAnalytics #Neo4j
https://neo4j.com/blog/developer/model-context-protocol/
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Meet Liquid - the #GraphDatabase built to host #LinkedIn, serving a ~15Tb graph at ~2M QPS!
Learn about the graph data model precisely in terms of the relational model and how to query it with Datalog: https://bit.ly/3VzivOP
#InfoQ video with #transcript included
Replied to OpenLink Software
Woot!
Another update for the #VirtuosoRDBMS (Open Source Edition) is here! Keep in mind that all my live demonstrations, whether they use #SPARQL or #SQL to fine-tune #ChatGPT, are also compatible with this edition (for example, the 100 billion+ #Uniprot instance-related demos at: https://community.openlinksw.com/t/using-sparql-query-templates-to-fine-tune-chatgpts-large-language-model-llm/3842/5).
OpenLink Software Community · Using SPARQL Query Templates to Fine-Tune ChatGPT's Large Language Model (LLM)Uniprot Knowledge Graph & ChatGPT Fine-tuning using SPARQL Q: What is Uniprot, and why is its SPARQL Query Service important? A: Uniprot is a comprehensive resource for protein sequence and annotation data². It consists of three databases: the UniProt Knowledgebase (UniProtKB), which contains manually reviewed and automatically annotated protein entries; the UniProt Reference Clusters (UniRef), which clusters protein sequences at different levels of identity to reduce redundancy; and the Un...
The latest Virtuoso Open Source Edition is now live.
Release Notes: https://community.openlinksw.com/t/virtuoso-open-source-7-2-10-release-notes/3883
Github Repo: https://github.com/openlink/virtuoso-opensource
As part of the Virtuoso Open Source Edition release, we also include installer programs & containers.
Installers:
[1] https://github.com/openlink/virtuoso-opensource/releases/download/v7.2.10/Virtuoso_Open_Source_for_macOS.dmg -- macOS
[2] https://github.com/openlink/virtuoso-opensource/releases/download/v7.2.10/Virtuoso_Open_Source_for_Windows.exe -- Windows
[3] https://github.com/openlink/virtuoso-opensource/releases/download/v7.2.10/virtuoso-opensource.x86_64-generic_glibc25-linux-gnu.tar.gz -- Linux
[4] https://hub.docker.com/r/openlink/virtuoso-opensource-7 - Docker