EDB Postgres AI - AI Accelerator
As part of the EDB Postgres AI platform, Pipelines abstracts away the complexity of working with AI data. It transforms Postgres into a powerful platform for AI data management, as it combines vector search from PGvector with automation for complex AI workflows.
Overview
Overview of the EDB Postgres AI AI Accelerator suite of tools including EDB PGvector and Pipelines.
Getting Started
How to get started with AI Accelerator Pipelines.
Introducing Pipelines
Pipelines Overview
Where to start with AI Accelerator Pipelines.
Capabilities
Capabilities of the EDB Postgres AI - AI Accelerator Pipelines.
Limitations
Limitations of the EDB Postgres AI - AI Accelerator Pipelines.
Compatibility
Compatibility information for the EDB Postgres AI - AI Accelerator Pipelines.
Installing
How to install AI Accelerator Pipelines.
Piplelines components
Models
How to work with models in AI Accelerator Pipelines.
Retrievers
Creating and using retrievers in AI Accelerator Pipelines.
PGFS
How to work with the PGFS (Postgres File System) in Pipelines.
Pipelines resources
Reference
Reference documentation for AI Accelerator - Pipelines.
Release notes
Release notes for EDB Postgres AI - AI Accelerator 1.0.0
Licenses
Open Source Licenses for software incorporated in EDB Postgres AI - AI Accelerator - Pipelines, by package and license.
Other components
PGvector
PGvector is a Postgres extension that provides vector data types and functions to store and manipulate vector data.
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