MongoDB today announced product updates and an expanded partner ecosystem at Ai4, its annual AI-focused conference to help customers build AI applications at scale.
The company introduced new Voyage AI embedding and reranking models, launched the MongoDB Model Context Protocol (MCP) Server in public preview, and added new partners to its AI ecosystem.
The latest Voyage AI models include voyage-context-3, which processes full document context for more relevant retrieval results, and voyage-3.5 and voyage-3.5-lite, which aim to improve retrieval quality and price-performance.
MongoDB also launched rerank-2.5 and rerank-2.5-lite, allowing developers to guide the reranking process using instructions.
“Databases are more central than ever to the technology stack in the age of AI,” said Andrew Davidson, SVP of products at MongoDB. “By consolidating the AI data stack and building a cutting-edge AI ecosystem, we’re giving developers the tools they need to build and deploy trustworthy AI solutions faster.”
The MCP Server enables direct connections between MongoDB and tools such as GitHub Copilot, Anthropic’s Claude, Cursor, and Windsurf, allowing developers to manage database operations using natural language.
Since its preview launch, thousands of developers have adopted MCP, with growing enterprise interest for agentic application stacks.
“Many organisations struggle to scale AI because the models themselves aren’t up to the task,” Fred Roma, SVP of engineering at MongoDB, said. “The quality of your embedding and reranking models is often the difference between a promising prototype and an AI application that delivers meaningful results in production.”
MongoDB has expanded its AI partner ecosystem with three new additions.
Galileo provides AI reliability and observability through continuous evaluations and monitoring of applications. Temporal enables the orchestration of resilient AI workflows with durable execution and horizontal scaling. LangChain offers integrations such as GraphRAG with MongoDB Atlas and natural language querying capabilities.
MongoDB reported that in the last 18 months, enterprise adopters such as Vonage, LGU+, and The Financial Times, along with approximately 8,000 startups, including Laurel and Mercor, have used its platform for AI projects. Over 200,000 new developers register for MongoDB Atlas monthly.
