About MongoDB
Explore the power of MongoDB's intelligent data platform to build innovative AI-driven solutions for real-world impact. MongoDB Atlas serves as the unified operational foundation and persistent memory layer for modern AI and agentic workloads. By combining operational, vector, and semantic data on a single platform, it eliminates the fragmented stacks and memory barriers that hinder AI performance. Ultimately, it empowers businesses to build production-grade AI that reasons accurately while remaining completely framework-agnostic.
Resources
- Load the sample Mflix Dataset: Quickly spin up sample data to kickstart your project, sample_mflix.embedded_movies already contains vector embeddings for Vector Search! Or BYO embedding model and dataset(Embedding model should be one of MongoDB provided or Google provided).
- Data Modelling in MongoDB: Learn best practices for structuring your data.
- MongoDB MCP Server: Explore MongoDB MCP server to connect your database to LLM.
- MongoDB Tools: Explore essential tools to optimize your development workflow.
- MongoDB Aggregations: Master data processing and analysis with powerful aggregation pipelines.
- MongoDB Atlas Search: Build lightning-fast search experiences directly within your database.
- MongoDB Vector Search: Supercharge your apps with AI-driven search capabilities.
- AI Learning Hub: Dive into AI with MongoDB—guides, tutorials, and more.
- Voyage AI documentation: Learn how to use MongoDB Voyage AI to generate embeddings.