Mongo87 articles

Table of Contents And why MongoDB might be a better relational database than you ever realized.The video streaming service use case: profiles, devices, and device typesUnderstanding the query aggregation pipelineThe pipeline performance problemAnd why MongoDB might be a better relational …

Table of Contents The Problem with Stateless ChatWhat We Are BuildingTwo Different Kinds of MemoryMix & MatchShort-Term Memory: Keeping the Conversation CoherentLong-Term Memory: Carrying Knowledge Across SessionsMemory Consolidation: From Conversation to Durable FactThe Advisor Chain and Why Order MattersThe Atlas …

Table of Contents Why should you use MongoDB for building AI agents?Understanding AI agentsBuilding a multi-agent application with MongoDBStep 1: Creating a vector search indexStep 2: Creating the TripStep 3: Induce a disruptionStep 4: Replanning Step 5: The Memory agents make …

Table of Contents A Practical Introduction to Horizontal Scaling1. Shards2. Config Servers3. Mongos RouterLarge datasetsHigh write throughputRapid data growthA Practical Introduction to Horizontal Scaling When building applications, most developers start with a single database server. At the beginning, everything works …

Table of Contents Let’s dive in!Simple Example – Text SearchBreakdown Table (for a ~9ms $search aggregation path through MongoT)Local DebuggingSample DataInteresting Example – Faceted Text SearchLucene Indexing Strategy + Benefits over MongoD IndexesVector Search ExampleLocal Grafana MonitoringPerformance Java Code PackagesSo what …

Table of Contents Prerequisites1. Project setup2. Storing and managing review patternsDefining the pattern modelCreating the repositoryBuilding the service layerExposing the REST endpoints3. Embedding patterns with Spring AI and MongoDB Atlas Vector SearchAdding Spring AI dependenciesGenerating embeddingsSeeding the pattern libraryCreating the …

Table of Contents The problemWhat we are buildingWhy RAG and why MongoDB AtlasHow the Pieces Fit TogetherGetting the Project RunningThe Ingestion PipelineThe Retrieval PipelineThe Atlas Vector Search IndexTrying It OutConclusion and What’s NextThis is the first article in a three-part …

Table of Contents Why were caches like Memcached & Redis invented, and why do they thrive?So, what’s wrong with having a caching tier?What’s different with MongoDB?What does AI think?SummaryLearn more about MongoDB design reviewsFrom time to time, I’ll run a …

Table of Contents Rethinking ETL for modern systemsArchitectural building blocksEmbracing concurrency with reactive pipelinesBackpressure: the hidden heroDesigning for failure: error handling strategiesRetry and recovery patternsIdempotency: the cornerstone of safe retriesBatching vs streamingParallelizing transformationsIntegrating with messaging systemsObservability and monitoringPutting it all …