Welcome to my blog! I am a developer who enjoys writing code and sharing learnings from my technical career.
Recent Blog
Spring AI: How to Write GenAI Applications with Java
Photo credit Generative AI (GenAI) is currently a hot topic in the tech world. It’s a subset of artificial intelligence that focuses on creating new content, such as text, images, or music. One popular type of GenAI component is the Large Language Model (LLM), which can generate human-like text based on a prompt. Retrieval-Augmented Generation (RAG) is a technique that enhances the accuracy and reliability of generative AI models by grounding them in external knowledge sources.
read moreCypher Sleuthing: How to Get Data Types of Properties in Neo4j
Photo credit It’s been awhile since I wrote a Cypher Sleuthing post, but I’m back with a new one! This time, I’m going to show you how to find the data types of properties in Neo4j.
I frequently want to find out the data type of a property so that I can map it in an application (in Java). I can never remember off the top of my head, and when I Google the question, the results are often outdated (here’s the answer post, but the syntax is old).
read moreImplementing RAG: How to write a graph retrieval query in LangChain
Photo credit What is RAG? This term is used a lot in today’s technical landscape, but what does it actually mean? Here are a few definitions from various sources:
"Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response." - Amazon Web Services
"Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.
read more