MongoDB said it will bring its search and vector search tools to MongoDB Community Edition and MongoDB Enterprise Server. The move provides enterprises full-text search and vector search features on MongoDB on-premises and self-managed deployment.
The new capabilities are in public preview for developers. MongoDB announced the news at its MongoDB.local NYC developer conference.
Ben Cefalo, Senior Vice President, Head of Core Products at MongoDB. said adding full-text search and vector search to on-prem, self-managed and local deployments gives developers more flexibility. Ultimately, MongoDB gets a new path to entice enterprises to move to the company's fully managed Atlas platform.
Cefalo said in a briefing:
“What we've heard consistently from our community is that integrating advanced search into self-managed application often requires both external search engines or vector databases. This creates friction at every stage, architectural complexities, operational overhead and a constant synchronization task. It distracts developers from their core innovation. We believe they shouldn't have to make the tradeoff.”
Key points:
- MongoDB's decision to move full-text search and vector search tools to on-prem and self-managed options simplify extract, transform and load operations.
- Enterprises won't have to manage multiple versions for additional search tools.
- MongoDB Community Edition and MongoDB Enterprise Server customers will be able to test and build applications locally.
- Developers can combine keywords and vector search in unified results that can be used for AI apps.
- Data in MongoDB can serve as a long-term memory store for AI agents and enhance grounding and RAG systems.
At MongoDB.local NYC, MongoDB also announced the following.
- The launch of MongoDB AI Modernization Platform (AMP).
- MongoDB 8.2 delivers a 49% performance boost for index queries and 10 faster memory reads.
- MongoDB 8.2 will get enhanced Queryable Encryption capabilities.
