USE CASE: VIRTUAL EXPERT
Build custom chatbots, copilots, translators, and more with automated GenAI data orchestration in enterprise-hardened Postgres®—all using familiar SQL.
THE CHALLENGE
Expertise requires vast data
Developers face critical data orchestration challenges when building virtual expert applications such as chatbots and copilots. Efficiently managing vast vector data to build responsive GenAI applications while ensuring those systems can be flexibly deployed in various business contexts is a difficult balance to maintain—especially in regulated industries where developers also have to navigate complex compliance and privacy standards.
OUR SOLUTION
GenAI virtual experts, made simple
AI Accelerator from EDB Postgres AI simplifies development of virtual expert applications. The Pipelines extension provides automatic vector embedding, updates, and retrieval—and comes with the pgvector extension built in, enabling complex vector data management using existing SQL in familiar, enterprise-hardened Postgres. This drives faster development of secure, compliant GenAI chatbots and copilots to meet needs across the business.
Enterprise-ready vector toolkit
The Pipelines extension comes preloaded with pgvector for seamless management of vector data in Postgres, enabling developers to build secure GenAI chatbots and copilots using SQL in the familiar Postgres environment—with just 5 lines of code instead of 130+—backed by enterprise-grade tools and support.
Automated Pipelines
The Pipelines extension provides automated data fetching from Postgres or object storage, generation of vector embeddings as new data is ingested, and triggered updates to embeddings when source data changes—streamlining the creation of custom AI assistants and tools for use across the business.
Robust compliance and security features
EDB Postgres AI includes advanced security measures and compliance tools, allowing developers to implement AI solutions that adhere to strict regulatory requirements while maintaining flexibility across different business environments and geographical locations.
DEMO
DEMO
Bring AI Models to Your Postgres Data
Bring AI Models to Your Postgres Data
AI Accelerator enables developers to build high-quality GenAI virtual expert applications, faster—directly impacting customer satisfaction and operational efficiency in regulated industries.
Streamlined vector data management
Efficiently navigate complex information landscapes with pgvector's optimized indexing and search capabilities, improving operational efficiency and customer satisfaction.
Accelerated GenAI development
Quickly build and deploy reliable and secure GenAI applications using familiar SQL-based interfaces within a Postgres environment enhanced for AI capabilities, reducing the learning curve and speeding up development cycles.
Compliance, simplified
Easily implement and manage GenAI solutions in regulated industries with built-in security features and flexible deployment options that adapt to varying compliance requirements.
Looking for end-to-end GenAI?
We're partnering with Griptape to provide everything you need to build, deploy, and manage enterprise GenAI applications—with 100% data control and the familiar Postgres experience your admins love.
EDB Postgres AI enables GenAI virtual expert applications
AI Accelerator leverages the Pipelines extension’s Intelligent Retriever to fetch data from Postgres or object storage, and then Auto Embedding seamlessly converts data to vector embeddings using chosen models—which are kept up-to-date with source data via triggers. Customer queries entered into the GenAI Virtual Expert application are converted to embeddings using the same GenAI encoder, and the Intelligent Retriever fetches results from semantic search.
Related Products and Solutions
EDB Postgres AI
A modern Postgres data platform for powering mission-critical workloads from edge to core.
EDB AI Accelerator
The fastest way to test and launch enterprise GenAI applications, with the powerful EDB Pipelines extension that comes preloaded with pgvector.
Sovereign AI Use Case
Your controlled, adaptable AI platform—secure, flexible, and cost-effective where your data lives.
Cognitive AI Use Case
Create GenAI search and recommendation applications that seamlessly combine text and image data
Resources
More Personalized Service, Less Waiting: How AI is Transforming Insurance Contact Centers
Unleashing AI with Torsten Steinbach
What Is pgvector, and How Can It Help You?
Enhancing Search Capabilities with PostgreSQL: From Standard to Semantic
A virtual expert is a GenAI application, such as a chatbot, copilot, or translation service, that uses natural language processing to improve workforce and customer outcomes.
Developers face challenges including:
- Complex data management of vast vector data
- Developing reliable and accurate GenAI copilots and chatbots
- Meeting strict compliance and privacy standards, especially in regulated industries
EDB offers a comprehensive solution that includes:
- Built-in pgvector for seamless vector management in Postgres
- Automatic fetch, creation, updating, and storage of vector embeddings with the Pipelines extensio
- Robust compliance and security features
pgvector is an open source extension that adds vector data management and semantic search capabilities to Postgres. It allows efficient management and querying of vast amounts of vector data, enabling responsive AI systems.
AI Accelerator from EDB Postgres AI provides a foundation for building AI applications using familiar SQL skills in a Postgres environment. It supports vector data operations and AI-powered features, speeding up development of custom AI assistants and tools.
EDB Postgres AI includes advanced security measures and compliance tools, allowing developers to implement AI solutions that adhere to strict regulatory requirements while maintaining flexibility across different business environments.
Yes, developers can leverage their existing SQL skills to work with vector data and create AI-powered features in the familiar Postgres environment.
EDB's solution, with pgvector, offers optimized indexing and search capabilities for vector data, improving operational efficiency and enabling more responsive GenAI systems.
Key benefits include:
- Streamlined vector data management
- Accelerated GenAI development
- Simplified compliance management
Yes, EDB Postgres AI is designed with built-in security features and flexible deployment options that adapt to varying compliance requirements, making it suitable for highly regulated industries.
By using a stable, familiar Postgres environment enhanced for AI workloads, EDB's solution helps accelerate development and deployment of AI applications with improved accuracy and reliability in production environments.
Yes, by simplifying compliance-related tasks and improving compliance audit results, EDB's solution frees up more time for developers to focus on creating business impact with their AI solutions.