Learn how to build a support agent that relies on information from Stack Overflow using the GenAI Stack – Neo4j, LangChain & Ollama in Docker. Read more →
Learn GraphRAG through a fun, hypothetical card game that demonstrates how graph enhances RAG applications, without diving into code or technical details. Read more →
Alex Thomas, Senior Software Engineer, AI Sep 05 7mins read
Learn how to enhance GraphRAG applications with hybrid retrieval using the Neo4j GraphRAG Package for Python, combining vector and full-text search. Read more →
Alex Thomas, Senior Software Engineer, AI Aug 16 5mins read
Learn Neo4j GraphRAG Python package's capabilities and how to further customize and improve your applications by using the other included retrievers. Read more →
Andreas Kollegger, Senior Developer Advocate, Neo4j Jun 17 7mins read
Neo4j, LLM creators, RAG orchestrators, knowledge graph designers, researchers, and deep thinkers gathered in San Francisco Presidio to explore GenAI. Read more →
Jennifer Reif, Developer Relations Engineer at Neo4j Jun 11 7mins read
Photo by Growtika on UnsplashThere are so many options when it comes to languages, frameworks, and tools for building generative AI (GenAI) applications. When you are just getting started, these decisions and figuring out how to integrate everything can be overwhelming.My… Read more →
Alexander Erdl, Senior Developer Marketing Manager May 14 3mins read
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. Read more →
Nathan Smith, Senior Data Scientist at Neo4j May 08 17mins read
Learn how to extract topics from documents with graph data science and use them as the basis for semantic search for better RAG applications. Read more →
Martin O’Hanlon, Technical Curriculum Developer, Neo4j Mar 30 2mins read
Learn how Neo4j can help you make sense of your unstructured data. Enroll in this new free course on GraphAcademy.There’s a new course on GraphAcademy: Introduction to Vector Indexes and Unstructured Data.This course teaches you to understand unstructured data using… Read more →
Jennifer Reif, Developer Relations Engineer at Neo4j Mar 05 6mins read
Learn how to write graph retrieval queries that supplement or ground the LLM’s answer for your RAG application, using Python and Langchain. Read more →
Fanghua Yu, Field Engineer, Neo4j Jan 05 10mins read
Exploring the Shortcomings of Text Embedding Retrieval for LLM GenerationLoch Awe in Scotland, photo by author.AbstractExternal knowledge is the key to resolving the problems of LLMs such as hallucination and outdated knowledge, which can make LLMs generate more accurate and reliable… Read more →
As the final blog post of the Project NaLLM blog series, we reflect on the positive aspects and challenges encountered during this project. Read more →