PGVector page filled out

Signed-off-by: Dj Walker-Morgan <[email protected]>

advocacy_docs/edb-postgres-ai/ai-accelerator/pipelines/pgvector/index.mdx

@@ -1,12 +1,40 @@
 ---
 title: "AI Accelerator - PGVector"
 navTitle: "PGVector"
-description: "EDB PGVector is a Postgres extension that provides vector data types and functions to store and manipulate vector data."
+description: "PGVector is a Postgres extension that provides vector data types and functions to store and manipulate vector data."
+deepToC: true
 ---
 
 It's open source and we use it.
 
+## What is PGVector
+
+PGvector is an extension for Postgres that enables efficient storage and similarity search of high-dimensional vector data, commonly used for machine learning models, recommendation systems, and natural language processing applications.
+
+### Part of the EDB Postgres AI platform
+
+EDB Postgres AI with pgvector delivers a flexible solution for enterprise AI, integrating seamlessly with existing Postgres environments. It outperforms standalone vector databases with 4.22X faster queries and eliminates data silos via integrations with 18X cost-efficient object storage. This unified platform accelerates AI deployment, simplifies management, and ensures up to 99.999% availability, enabling businesses to innovate rapidly and future-proof their data infrastructure without disrupting current operations.
+
+### Native Vector Data Type Support
+
+pgvector on EDB Postgres AI enables storage of AI/ML model embeddings as first-class data types, allowing efficient indexing and querying of large volumes of AI data stored in object storage, seamlessly integrated with traditional relational data.
+
+### Advanced 4.22X Vector Query
+
+Extends standard SQL with vector-specific operators and functions, enabling complex queries that combine vector operations, relational data, and full SQL capabilities, going far beyond simple similarity searches to support sophisticated AI-driven applications.
+
+### High-performance Indexing 
+
+With real-time indexing, storage, and querying of AI data, pgvector enables efficient vector similarity search on embeddings from various LLMs, while leveraging Postgres transactionality for consistent handling of mixed workloads.
+
+### Integrated Vector Data Platform
+
+pgvector unifies vector database capabilities with EDB Postgres AI's mature enterprise features, ensuring high availability, robust backup/recovery, strong security, and ACID data integrity, all within a single vendor solution for comprehensive data management and AI workloads.
+
 ## Installation
 
-The extension is included with AI Accelerator's Pipelines and installed automatically when it is installed.
+The extension is included with AI Accelerator's Pipelines and installed automatically when Pipelines is installed.
+
+## Further information
 
+For more information on the pgvector extension, see the [pgvector repository](https://github.com/pgvector/pgvector).