Building Efficient AI Data Pipelines with MongoDB and Vector Search
· 4 min read
MongoDB's vector search capabilities make it an excellent choice for AI applications that need to store and query embeddings efficiently. The integration of vector search directly into MongoDB eliminates the complexity of managing separate vector databases while maintaining the flexibility and scalability of document storage.
MongoDB Atlas Vector Search
MongoDB Atlas now offers native vector search capabilities, eliminating the need for separate vector databases in many use cases while providing the familiar MongoDB query interface.