Concepts ======== **EDB Postgres® AI** (EDB PG AI) brings **AI workloads into your Postgres platform and infrastructure** — with an architecture designed to power **Sovereign AI** on hybrid and cloud-native environments. AI Factory extends Postgres to support: - Vector search and semantic search - Data pipelines for embedding generation - Gen AI application development - Scalable model serving and inference - AI-driven governance and observability AI Factory helps you build and operate **trusted, enterprise-grade AI systems** using your data, models, and applications. .. _concepts-1: Concepts ======== EDB’s vision for AI with Postgres and Hybrid Manager ---------------------------------------------------- EDB’s AI Factory strategy makes Postgres a **first-class platform** for AI workloads and AI-driven applications. The architecture combines: - **AI in Postgres:** vector search, embedding pipelines, and AI functions within the database - **Gen AI apps:** conversational and task-driven AI applications with Gen AI Builder - **Scalable inference:** GPU-accelerated model serving using Kubernetes and KServe - **Unified control plane:** model lifecycle management and observability in Hybrid Manager This enables **Sovereign AI** — AI on your data, on your infrastructure, with full governance. .. _concepts-2: Concepts ======== Retrieval-Augmented Generation (RAG) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ **RAG pipelines** enhance LLM responses by combining: - Domain-specific embeddings from :ref:`Knowledge Bases Reference Manual ` - Configurable search behavior with :ref:`Retrievers Reference Manual ` - Scalable model inference through :ref:`Model Serving Reference Manual ` - Application orchestration via :ref:`Gen AI Builder ` This enables more accurate, grounded, and compliant AI applications. .. _concepts-3: Concepts ======== Model serving and inference ^^^^^^^^^^^^^^^^^^^^^^^^^^^ AI Factory provides robust model serving with: - Scalable inference services for LLMs, embedding models, and vision models - GPU-accelerated serving via Kubernetes + KServe - Flexible deployment options through the :ref:`Model Serving Reference Manual ` framework - Lifecycle management and discoverability with the :ref:`Model Library Explained In Depth ` These services power both **Gen AI Builder agents** and **Knowledge Bases**. .. _concepts-4: Concepts ======== Pipelines and data preparation ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ AI Factory :ref:`Pipelines and data preparation ` automate: - Embedding generation - Chunking, parsing, summarizing content - Keeping embeddings fresh with :ref:`Pipeline auto-processing ` Explore :ref:`Pipelines reference - Preparers ` for reusable data preparation components. .. _concepts-5: Concepts ======== Summary ------- EDB PG AI enables you to: - Embed AI capabilities directly into Postgres - Build scalable, production-ready AI applications - Operate Sovereign AI on your infrastructure with unified governance - Integrate open-source tools and standards across the AI stack **Next steps:** - :ref:`AI Factory terminology ` - :ref:`Fundamental AI Concepts ` - :ref:`AI Factory Learning Center ` -------------- .. toctree:: :maxdepth: 3 Start--concepts--differences-and-faq Start--concepts--generic-concepts Start--concepts--terminology Start--concepts--sovereign-ai Start--concepts--security-governance