As Generative AI (GenAI) moves from experimentation to production, organizations face a familiar challenge: how to scale vector search and AI workloads efficiently—without creating new silos or compromising security.
Our new white paper, “Solving the Vector Database Dilemma: One Platform, 4x Performance, 68% Faster AI Deployment,” explores how enterprises can unify their GenAI architecture on EDB Postgres® AI, achieving breakthrough performance and faster time to production—all within a trusted Postgres foundation.
Why This White Paper Matters
Vector embeddings are the backbone of modern AI, powering semantic search, recommendations, and intelligent assistants. But managing them in standalone vector databases introduces synchronization headaches, tooling sprawl, and operational complexity.
EDB Postgres® AI (EDB PG AI) eliminates those trade-offs by extending pgvector into a unified, enterprise-ready platform that combines transactional, analytical, and vector workloads in one environment.
With EDB PG AI, enterprises can expect:
- 4.22x faster vector queries through optimized indexing and intelligent query orchestration
- 18x greater storage efficiency with compressed, object-storage integration
- 68% faster AI deployment using automated pipelines and low-code GenAI Builder tools
- Complete data sovereignty and governance across hybrid and multi-cloud environments
What You’ll Learn
The white paper dives deep into:
- The architectural trade-offs of specialized vector databases vs. Postgres-native solutions
- How pgvector enables scalable, low-latency similarity search inside Postgres
- How EDB PG AI integrating with AI Factory brings automation, orchestration, and observability for enterprise-grade AI applications
- Real-world use cases across finance, healthcare, and manufacturing, showcasing faster GenAI deployment and operational efficiency
One Platform for Every AI Workload
EDB Postgres® AI transforms Postgres into a unified AI factory—a single platform to orchestrate, build, and deploy GenAI applications. It bridges structured and unstructured data, enabling seamless retrieval-augmented generation (RAG), AI agents, and agentic analytics—all within your existing data perimeter.
Read the Full White Paper
Discover how to simplify your AI stack, accelerate performance, and deliver enterprise-ready GenAI—securely and at scale.
Download the whitepaper: "Solving the Vector Database Dilemma: One platform, 4x performance, 68% faster AI deployment"
Learn how EDB PG AI unifies your vector and transactional workloads, helping you deploy AI solutions faster—with full control, compliance, and confidence.