Atlas Vector Search
by MongoDB · AI · New York, United States
Vector search for retrieval augmented generation and AI apps.
What Atlas Vector Search does
- Retrieval-Augmented Generation (RAG)
What Atlas Vector Search is used for
- Build retrieval-augmented generation applications
- Enable semantic search over unstructured data
- Build recommendation engines and anomaly detection
- Combine vector and filter queries in one database
- Give agentic systems relevant context
About MongoDB
Document database platform (MongoDB Atlas) used for core banking modernisation and operational data workloads.
MongoDB in the vendor registry: its products, features and similar vendors.
Also by MongoDB
- MongoDB Atlas: Managed multi-cloud document database with search and vector capabilities
- Relational Migrator: Tooling to migrate relational workloads to MongoDB, developed in Sydney
- MongoDB Enterprise Advanced: Self-managed enterprise database distribution.
More in this category: AI software for financial services.
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Built by Vederca from public sources, last updated 2026-10-18.