Welcome to This Week in Neo4j, your fix for news from the world of graph databases!
We are back with twin4j, and I hope you had a great start to 2025 so far. In our podcast, we take a final look back at 2024 – featuring our favourite tools and other highlights. Additionally, we develop scalable GraphRAG Systems, set up a Neo4j cluster and try BAML.
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Happy Graphing,
Alexander Erdl
COMING UP NEXT!
- Livestream: Neo4j Live: Entity Architecture for Efficient RAG on Graphs on January 22
- Conferences: Find us at Data Day Texas on February 25 & jFokus Stockholm on February 2-5
- Meetup: Meet us in San Francisco, US on January 22 & Singapore, SG on January 24
- All Neo4j Events: Webinars and More
- GraphSummit Series: Get Connected With Graphs – Next Stop: Copenhagen on March 4
FEATURED COMMUNITY MEMBER: Karrtik Iyer
Karrtik has deep expertise in developing and deploying large language models (LLMs) and generative AI technologies. His work in these fields has enabled the creation of sophisticated NLP applications that have transformed business operations in sectors ranging from healthcare to finance.
Connect with him on LinkedIn.
In his session at NODES 2024 “GNN-RAG: Bridging Graph Reasoning and Language Understanding for Enhanced Knowledge Retrieval”, he highlights how GNN-RAG leverages graph reasoning and language understanding to improve question answering over knowledge graphs. Discover the unique synergy of structured graph analysis and natural language processing in delivering precise, contextually rich answers.
PODCAST: 2024 Recap: Favorite highlights!
Join the Neo4j tech advocates for a recap of 2024 – their favourite highlights, tools, events and more! From major milestones in the industry to exciting events to favourite tools, catch all the high points from each of them.GRAPHRAG: Creating Scalable RAG Systems with LangChain, Neo4j, and Advanced LLMs
Dibyajyoti Mohanty demonstrates how to build a scalable Retrieval-Augmented Generation (RAG) system by integrating LangChain for language processing, Neo4j for graph databases and advanced Large Language Models (LLMs) to effectively manage and query knowledge graphs.CLUSTER: Build a Neo4j cluster
Jonathan Giffard provides a step-by-step guide to setting up a three-member Neo4j cluster using Podman containers and HAProxy for load balancing.BAML: Unstructured-to-Structured Graph Data Using BAML to Neo4j
Jason Koo explains how to use BAML (Boundary’s Annotation Modeling Language) to convert unstructured webpage content into structured graph representations, facilitating the rapid population of a Neo4j database for enhanced data analysis and knowledge management.POST OF THE WEEK: Mikko Alasaarela
+ Neo4j graph with AI-powered ontology + Database Service that abstracts all communication to and from the graph. + Protocol Service, which handles communication between agents. + Knowledge Service, which handles the ontology and transforms data into intelligence on the platform. 7/
— Mikko Alasaarela (@alasaarela.com) 7. Januar 2025 um 14:16
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