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Status Completed
Categories Atlas Search
Created by Guest
Created on Apr 27, 2021

support for the storage and high speed search of dense vectors (i.e. word embeddings)

One feature I would like to see in mongoDB is the support for the storage and high speed search of dense vectors (i.e. word embeddings). This feature, in combination with full text search, would bring mongoDB within parity with Elasticsearch and help us simplify our architectures for these types of solutions. https://www.elastic.co/blog/text-similarity-search-with-vectors-in-elasticsearch
  • ADMIN RESPONSE
    Oct 18, 2025
    Atlas Vector Search is now available as a public preview in MongoDB Atlas. https://www.mongodb.com/docs/atlas/atlas-search/knn-beta/ ( https://www.mongodb.com/docs/atlas/atlas-search/knn-beta/ ) https://www.mongodb.com/docs/atlas/atlas-search/field-types/knn-vector/#std-label-bson-data-types-knn-vector ( https://www.mongodb.com/docs/atlas/atlas-search/field-types/knn-vector/#std-label-bson-data-types-knn-vector )