Store and search vectors alongside your operational data in MongoDB Atlas. Explore vector search use cases and resources to get started.

Oct 18, 2025 · Learn how to set up and use MongoDB's Vector Search for building smart apps. This practical guide covers vector indexing, query best practices, and real-world examples.

Oct 7, 2025 · In this article, we will look at how to get started creating a vector index for your data in MongoDB, and then look into how to improve the efficacy of the index with fine-tuning!

Dec 29, 2024 · In this article, we will explore MongoDB’s vector search functionalities, how it compares to specialized vector databases, and the steps to set up a vector search workflow in MongoDB.

MongoDB Vector Search enables you to query data based on its semantic meaning, combine vector search with full-text search, and filter your queries on other fields in your collection, so you can …

MongoDBAtlasVectorSearch performs data operations on text, embeddings and arbitrary data. In addition to CRUD operations, the VectorStore provides Vector Search based on similarity of …

Sep 7, 2025 · Most major database vendors, like MongoDB, are adding vector search capabilities to their products. It’s becoming a standard feature as demand for AI-powered applications grows. …

In MongoDB, you can semantically search through your data using MongoDB Atlas Vector Search. To perform vector search on your data in MongoDB, you need to create a vector search index.

Feb 2, 2025 · In MongoDB, vector search enables more accurate and intelligent search results. By converting data into vector embeddings using machine learning models, MongoDB allows queries …

Mar 23, 2024 · This repo has sample code showcasing building Vector Search / RAG (Retrieval-Augmented Generation) applications using built-in Vector Search capablities of MongoDB Atlas, …