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What is retrieval-augmented generation (RAG)?

What Is Retrieval-Augmented Generation (RAG)? — Overcoming the Limitations of Fine-Tuning & Vector-Only RAG

Large language models (LLMs) like GPT are undoubtedly powerful, yet their capabilities are often limited as a standalone, pre-trained tool. LLMs need to be supported with organizational and domain-specific knowledge for accurate, explainable, and context-aware responses. Retrieval-augmented... read more



Sebastian Lobentanzer

This Week in Neo4j: GraphAcademy, Algorithms, GenAI, Knowledge Graphs and more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! There is a lot of content available for learners in this edition. Besides the updates to GraphAcademy and our Workshops in March, O'Reilly is conducting a Knowledge Graph Course. As readers of our... read more


Abhishek Das

This Week in Neo4j: Data Journalism, LLMs, Object Mapping, Cypher and more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! Do you remember the ICIJ from the Panama Papers? They published an update with new features to Datashare - their platform for investigative journalists. Also this week, we look at LLM-powered... read more


Dattaraj Rao

This Week in Neo4j: LLMs, Vectors, Metadata Management, Streamlit and more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! This week was challenging to find something not about LLMs, Vectors and the like, but you can find a video on Metadata Management and findings from building a finance app with Streamlit and Neo4j.... read more