MongoDB for AI: Vector Search, RAG, and Machine Learning
Learn how to use MongoDB for AI applications. Build semantic search, RAG pipelines, vector databases, and ML feature stores.
Mongodb
MongoDB in 2025-2026: New Features, Atlas, and Evolution
Explore MongoDB's latest developments in 2025-2026. Learn about MongoDB 8.0, Atlas serverless, vector search, and multi-cloud deployments.
MongoDB in Production: Real-World Patterns and Best Practices
Discover production-ready MongoDB implementations. Learn patterns for web apps, mobile, IoT, content management, and real-time analytics.
MongoDB Internals: Storage Engine, WiredTiger, and Data Structures
Explore MongoDB's internal architecture. Learn about WiredTiger storage engine, B-Tree indexes, journaling, and query execution.
MongoDB Operations: Deployment, Scaling, and Management
Learn MongoDB operations including replica sets, sharding, backup, security, and monitoring. Complete guide for production deployments.
MongoDB: The Complete Guide to the World's Most Popular Document Database
Learn MongoDB from installation to advanced queries. Complete guide covering document model, CRUD operations, indexing, and data modeling.
Database Query Optimization: Indexes, EXPLAIN, and N+1 Queries
Master database query optimization โ indexing strategies, reading EXPLAIN output, fixing N+1 queries, and pagination patterns for PostgreSQL and MongoDB.
Database DevOps: Automation, Migration, and Operations
Master database DevOps practices including schema migration automation, backup strategies, replication configuration, and operational excellence for PostgreSQL, MySQL, and MongoDB.
Managed MongoDB Alternatives: Comparing Atlas, CosmosDB, and DocumentDB
Comprehensive comparison of MongoDB Atlas, Azure CosmosDB, and AWS DocumentDB for managed NoSQL databases. Includes pricing analysis, feature comparison, migration guides, and real-world scenarios.
MongoDB Sharding at Scale: Distributed Database Strategy
Complete guide to MongoDB sharding for scaling to billions of documents. Learn shard key selection, rebalancing, and real-world deployment strategies.
Fuzzy (Regex) Search in MongoDB with Go โ Practical Guide
Fuzzy search using regular expressions is a common requirement in apps that let users search for names, titles, slugs, or other short text fields. โฆ
Using MongoDB $in with Go: Best Practices & Performance
If you have a Go struct like this:
type Student struct {
Name string `bson:"name"`
Age int `bson:"age"`
}
Say there are many student โฆ
Import Data from MongoDB into Meilisearch
Background
MongoDB is a document-based database that stores data in JSON-like format. It is schema-less and primarily handles JSON documents. โฆ
M103: MongoDB Cluster Administration: Replication
Useful Commands
Connect to replica set m103-repl, to secondary
mongo --port 27004 --authenticationDatabase admin -u m103-admin -p m103-pass
to primary โฆ
M103: MongoDB Cluster Administration: Sharding
Replication(ๅคๅถ) vs Sharding(ๅ็)
ๅคๅถ่ฎฉๅคๅฐๆๅกๅจๆฅๆๅๆ ท็ๆฐๆฎๅฏๆฌ๏ผๆฏไธๅฐๆๅกๅจ้ฝๆฏๅ ถไปๆๅกๅจ็้ๅ๏ผ่ๆฏไธไธชๅ็้ฝๆๅ ถไปๅ็ๆฅๆไธๅ็ๆฐๆฎๅญ้ใ
ๅ็็็ฎๆ ไนไธๆฏๅๅปบไธไธชๆฅๆๅคไธชๅฎไพ๏ผๆๅคๅฐๆบๅจ๏ผ็็ฎๆ ้็พค๏ผๆดไธช้็พคๅฏนๅบ็จ็จๅบๆฅ่ฏดๅฐฑๅๆฏไธๅฐๅๆบๆๅกๅจใ
ไธบไบๅฏนๅบ็จ็จ โฆ
M103: MongoDB Cluster Administration: The Mongod
M103: MongoDB Cluster Administration: The Mongod
M121: Chapter 0: Introduction and Aggregation Concepts
Chapter 0: Introduction and Aggregation Concepts
- Aggregation is a pipeline
- Pipelines are composed of one or more stages
- Stages use one or more โฆ
M121: Chapter 1: Basic Aggregation
Chapter 1: Basic Aggregation - $match and $project
$match: Filtering documents
db.solarSystemaggregate([{$match: {}}])
$match uses standard MongoDB โฆ
M121: Chapter 2: Basic Aggregation - Utility Stages
$addFields and how it is similar to $project
// reassign ``gravity`` field value
db.solarSystem.aggregate([{"$project": { "gravity": โฆM121: Chapter 3: Core Aggregation - Combining Information
connet to Atlas Cloud
mongo โฆM121: Chapter 4: Core Aggregation - Multidimensional Grouping
Facets: Introduction
Facets: Single Facet Query
db.companies.findOne()
db.companies.createIndex({'description': 'text', โฆM121: Chapter 5: Miscellaneous Aggregation
The $redact Stage
Restricts the contents of the documents based on information stored in the documents themselves.
// creating a variable to refer โฆM121: Chapter 6: Aggregation Performance and Pipeline Optimization
Aggregation Performance
-
Index usage
-
Memory Constraints
-
Realtime processing(online application)
-
Batch processing(offline analytics)
Index โฆ
M201: Chapter 2: MongoDB Indexes
Introduction to Indexes
- What are indexes?
- How do they work?
What problem do indexes try to solve?
Slow queries
Think about a book index.
B-tree โฆ
M201: Chapter 3: MongoDB Index Operations
Building Indexes
Hybrid Index Build(new in 4.2)
db.movies.createIndex({title: 1})
db.movies.createIndex({title: 1}, {background: true})
- One index โฆ
M201: Chapter 4: CRUD Optimization (Chapter 4 of 5)
Optimizing your CRUD Operations
- Index Selectivity
- Equality, Sort, Range
- Performance Tradeoffs
// use the m201 database
use m201
// create an โฆM201: Chapter 5 Performance on Clusters
Performance Considerations in Distributed Systems Part 1
- Replica Cluster(HA Solution)
- Shard Cluster(Horizontal Scalability)
Working with Distributed โฆ
M220JS: Chapter 2: User-Facing Backend
Paging
sort()
limit(numPerPage)
skip(page*numPerPage)
Basic Writes
Upsert == Insert + Update
insertOne()
insertMany()
const upsertResult = await โฆM220JS: Chapter 3: Admin Backend
Introduction
- Read Concerns
- Join collections using expressive
$lookup - Perform bulk operations
- Clean data
What to do:
- Reporting on a movie’s โฆ
M320: Chapter 1: Introduction
Introduction to Data Modeling
-
Good performance
-
Maximizing the productivity of your developers
-
Minimizing the overall costs of your solution โฆ
M320: Chapter 2: Relationships
Introduction
One customer -> (One to many) Many Invoices
Invoices <- (Many to Many) -> Products
Should the information be embedded or โฆ
M320: Chapter 3: Patterns
Introduction to Patterns
Patterns(่ฎพ่ฎกๆจกๅผ) are for data modeling and schema design.
- Use computed pattern to avoid repetitive computations
- Structure โฆ
M320: Chapter 4: Patterns Part 2
Computed Pattern
Use this pattern if you need to compute similar computations many times.
- Math operations
- Fan out operations
- Roll-up operations โฆ
M320: Chapter 5: Conclusion
Q2
Scenario
We built a very successful navigation application for cell phones. The application has been installed on many devices throughout the โฆ
MongoDB for JavaScript Developers: Setup, URI, and Atlas
Getting started with MongoDB for JavaScript developers โ connecting to Atlas, understanding the MongoDB URI format, and setting up a Node/Express/MongoDB project.
MongoDB Performance: Hardware, Indexes, and WiredTiger Storage Engine
Introduction
MongoDB performance depends on three main factors: hardware configuration, index design, and query patterns. Understanding how MongoDB โฆ
MongoDB Resiliency: Connection Pooling, Error Handling, and Robust Configuration
Build resilient MongoDB applications โ connection pooling, write concerns, error handling, timeouts, and the principle of least privilege.
How to Convert a MongoDB Replica Set to a Standalone Server
MongoDB
M101: MongoDB Basics
Terms
- MQL: MongoDB Query Language
- Atlas: MongoDB official clound database hosting service
Features
- Implicit creation of db, collection, and field โฆ
MongoDB Delete Commands: A Complete Guide
A complete guide to MongoDB delete operations โ deleteOne, deleteMany, drop, and bulk deletes with practical examples and best practices.