Intro to RAG: Foundations of Retrieval Augmented Generation, part 2
In this blog post, we'll explore the different layers of RAG, including vector RAG, graph RAG, and agents.
Category
Databases
MongoDB Aggregation Framework: A Beginner’s Guide
The MongoDB Aggregation Framework works like a pipeline—a series of stages where each step processes the data in some way.
Testing MongoDB Atlas Search Java Apps Using TestContainers
A few examples of how you can use the awesome TestContainers projects to enhance testing of your MongoDB Atlas Search Java apps.
Intro to RAG: Foundations of Retrieval Augmented Generation, part 1
Explore a few introductory concepts around Retrieval Augmented Generation (RAG), why it exists and the problems it solves.
Understanding BSON: A Beginner’s Guide to MongoDB’s Data Format
BSON is at the core of how MongoDB stores and transmits data. It extends JSON with additional data.
Building a Real-Time AI Fraud Detection System with Spring Kafka and MongoDB
Create a Spring app that can stream in financial transactions from Apache Kafka, and upon insertion into the database, can use Atlas Vector …
GenAI blood, sweat, and tears: Loading data to Pinecone
The task to load some JSON data to Pinecone was much more arduous than I had anticipated, but I learned a lot along the way!
Semantic Search with Spring Boot & Redis
Learn how to build a semantic search app with Spring Boot and Redis. Discover how Redis OM Spring makes it easy to find results based on …
Breaktime Tech Talks (Ep39): Why embedding models should match + Advice for starting a blog
This week I talk through my hands-on experience of what happens when embedding models for creating vectors and searching them don’t match.
Breaktime Tech Talks (Ep37): Vector Database Frustration + Microsoft LazyGraphRAG
This is episode 37 of the Breaktime Tech Talks. https://www.youtube.com/watch?v=hv-FtjIHg_I&list=PLzZ7iUdr2mwS6qexoz9dsI0NfnU614p1w&index=1 …