Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases!
In this edition, we stroll through the history of SQL iterations to curve back to the recently published ISO standard GQL for querying property graphs. We also discover how to build a Healthcare Knowledge Graph, discuss graphs with Ashleigh Faith in our podcast and customise the Property Graph Index in LlamaIndex.
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Alexander Erdl
COMING UP NEXT WEEK!
- Conferences: Find us at AWS Summit, Sao Paulo on August 15
- Meetup: Meet us in Sunnyvale, US on August 15 & London, UK on August 20
- NODES 2024: Register Now! for November 07
- All Neo4j Events: Webinars and More
- GraphSummit Series: Get Connected With Graphs
FEATURED COMMUNITY MEMBER: Dmitrii Kamaev
Dmitrii is a product owner with extensive experience in research, bioinformatics and software development.
Connect with him on LinkedIn.
He presented “Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians” at a recent Neo4j LifeScience Event. Their curated knowledge base integrates 40+ scientific databases, supporting pharma companies in drug discovery, biomarker identification, and custom knowledge graph integrations.
KNOWLEDGE GRAPH: Building a Healthcare Knowledge Graph RAG with Neo4j, LangChain, and Llama 3
Monisha Roy explains that advancements thanks to GraphRAG and Knowledge Graphs have resulted in a more efficient healthcare environment that benefits patients and providers. In this article, she outlines a chatbot for improved hospital-patient interactions.PODCAST: Pragmatic Knowledge Graphs with Ashleigh Faith
Our August edition of the Neo4j Podcast is joined by Ashleigh Faith, who’s hosting a Knowledge Graph focused Youtube channel and will also be speaking at NODES 2024. She shares hard lessons learned while implementing Knowledge Graphs as a consultant and offers tips and tricks for designing data models.LLAMAINDEX: Customizing Property Graph Index in LlamaIndex
Tomaz Bratanic shows us the Property Graph Index, an excellent addition to LlamaIndex and an upgrade from the previous knowledge graph integration. In this detailed blog post, you will learn how to construct a knowledge graph using schema-guided extraction and perform entity deduplication using a combination of text embedding and word similarity techniques.SQL/GQL: A Brief History of SQL and the Rise of Graph Queries
Fanghua Yu takes us through history, including significant events and versions of the SQL standards with key developments. This year – for the first time in decades – the database industry has introduced a new ISO/IEC standard language called Graph Query Language. GQL, the new database query language standard, is a pivotal development for advancing data analytics and management in the era of big data, GenAI, and beyond.POST OF THE WEEK: Sophia Yang
GraphRAG with @MistralAI, @CamelAIOrg, and @neo4j:
— Sophia Yang, Ph.D. (@sophiamyang) July 31, 2024
– Use Mistral Large 2 to extract and structure knowledge graph from a given content source, and store this information in a Neo4j graph database.
– A hybrid approach: combining vector retrieval and knowledge graph retrieval,… pic.twitter.com/bDTnnT6OPT
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