Databases116 articles

Table of Contents How GlassFish helps with improving database performanceConnection pool configurationJDBC batchingJakarta Persistence (JPA) batchingNext Steps Database operations are a very critical part of most applications in regards of performance. There are multiple reasons why database operations can significantly …

Table of Contents GenAI systems as layersVector RAGGraph RAGAI AgentsModel Context Protocol (MCP)What should you choose?Wrapping up!Resources In the last post, we discussed the basics of Retrieval Augmented Generation (RAG) and how it enhances the capabilities of Large Language Models …

Table of Contents Aggregation pipelineAggregation stages$Match$Project$Unwind$Group$Sort$AddFieldsCombining stagesWrapping up Finding exactly the data we need isn’t always a simple task. You’ve probably faced situations where you needed to filter information, group it, and even perform calculations to produce a final result. …

Table of Contents What is MongoDB Atlas Search, anyway?Local development and testing with MongoDB Atlas SearchWhat’s TestContainers?Let’s write some code!Simple CRUD data access and unit testsMongoDB Atlas Search with seed data and index waitAdvanced seed data loading: MongoDB Database ToolsLoading …

Table of Contents Why RAG?Large Language Models (LLMs)Vector embeddingsVectors applied to wordsVectors applied to dataSimilarity searchWrapping up!Resources Retrieval Augmented Generation (RAG) may sound complex, but it accurately represents the process of the system. RAG is a method that enhances the …

Table of Contents What is BSON?Why not just JSON?BSON vs. JSONCommon BSON data types (and their Java equivalents)BSON and MongoDB internalsSetup and project structureBSON data types and document creationNested fields and arraysWhy use nested structures?Raw BSON manipulationQuerying with BSONAggregation with …

Table of Contents What we are buildingPrerequisitesCreate our MongoDB databaseCreate a Vector Search indexCreate a Spring applicationSetting up configurationMongoDB configurationSpring AI configurationKafka configurationGenerate our synthetic customer profilesThe customer modelCustomer seedingHow the sample customers are structuredThe transaction modelGenerating random transactionsHow do …

Table of Contents Getting startedIssue #1: APIs, SDKs, and rapid changeIssue #2: ConfigIssue #3: JSON formatIssue #4: Loading data to Pinecone1. Metadata keysAlternative embeddings – Book descriptionsWrapping up!Resources As someone who is pretty familiar with relational and graph databases, I …

Table of Contents Redis as a Vector DatabaseRedis OM SpringDatasetBuilding the Application0. GitHub Repository1. Add the required dependencies2. Define the Movie entity3. Repository Interface4. Search Service5. Movie Service for Data Loading5. Search Controller6. Application Bootstrap7. Sample RequestsWrapping upMore AI ResourcesStay …

Table of Contents Why embedding models should matchDifferences in similarity searchAdvice for starting a blogWrapping up! This is episode 39 of the Breaktime Tech Talks podcast. I’m at a conference this week presenting on a variety of different topics, but …