MongoDB Developer Relations's repositories
getting-started-deno-mongodb
Deno 2.0 CRUD (Create, Read, Update, Delete) application with MongoDB
ai_lab_assistant_chat
MongoDB Developer Days Lab AI Assistant
python-mongodb
Contains details on how we use pymongo to connect python with mongodb
aggregation-pipeline-lab
A Hands-on Lab to learn about advanced querying and Aggregation Pipelines
laravel-openai-vector-search
Laravel Tour Planner with Open AI and MongoDB Vector Search
search-lab
Documentation used in the Search & Vector Search hands-on labs during Developer Days
Airflow-MongoDB
Walkthrough on how to deploy Airflow with MongoDB
mongodb-vector-search-with-quarkus
This repository contains code for performing MongoDB vector search with Quarkus application.
queryable-encryption-java-bankaccount
This is a brief guide on how to use Queryable Encryption in a Java application
search-analysers-with-mongodb
This repository will help you understand the advanced concepts of Atlas search like custom analyzers, atlas search with geo locations and use of compounds
Snowflake-2-MongoDB
Sample Kafka Configuration to move data from Snowflake to MongoDB
Terraform-Quickstart
MongoDB Terraform HCL scripts to get up and running AWS, GCP, Azure
TimeSeries-Anomaly-Detection
A guides to creating sentence embeddings across documents + master embeddings collection
LangGraph-MongoDB-Demo
MongoDB / LangGraph demo will allow you to: Use real, structured data to build an interactive, visual representation of relationships. Identify patterns and insights from customer support data. Enhance the demo by showcasing how MongoDB’s flexibility with data structure integrates with LangGraph’s visualization and analysis tools
migrate-to-mongo
A hands-on lab to migrate an app from RDBMS to MongoB
rag-app-mongodb
A Jupyter/Colab Notebook that demonstrates how to use RAG techniques with MongoDB and LangChain.
rag-app-sample-data
A few sample data files, to be used for demonstrating RAG search with MongoDB.
vector-search-with-quarkus
This repository contains the code to perform vector search using Quarkus framework.