MongoDB adds AI retrieval tools to fight enterprise project failures

Key takeaway

• MongoDB launched three AI retrieval capabilities to address the top reasons enterprise AI projects fail: inaccurate retrieval and compliance issues.

• Native Reranking boosts retrieval quality by up to 30% and runs inside the database with no external APIs.

• These tools are now available for on-premises and private cloud deployments, allowing enterprises to build accurate, compliant AI applications wherever their data lives.

3 Key Points

FAQ

Where can these MongoDB retrieval tools be deployed?

Search and Vector Search are now generally available for MongoDB Enterprise Advanced and Community Edition, bringing retrieval capabilities to on-premises, private cloud, and local environments in addition to Atlas cloud customers.

How much does Native Reranking improve retrieval quality?

Native Reranking improves retrieval quality by up to 30% and operates directly inside the database without requiring external APIs, keys, or round-trips.

What is Voyage Context 4 designed to do?

Voyage Context 4 is a new embedding model built for long documents that processes them in full context rather than isolated chunks, preserving meaning across complex enterprise content for better retrieval accuracy. It integrates into existing RAG pipelines without re-architecting.