1. Embed AI Models Natively

• Load and run AI models directly within PostgreSQL, eliminating the need to shuttle data between external inference services.
• Perfect for scenarios that demand high performance, low latency, and strict data privacy.

2. AI with PL/Python and LLMs

• Develop tailored PL/Python functions that empower the database to:
  

  1. Generate SQL from plain-language prompts

  2. Summarize large text fields or reports

  3. Perform lightweight inference using Llama.cpp, right from inside the database

3. Enable AI-Driven Query Responses

• Use integrated AI logic to dynamically rewrite or suggest optimized SQL queries based on data structure and usage history.
• Power real-time decision-making and recommendations without relying on external AI APIs.

4. NLP and Chatbots Inside PostgreSQL

• Build intelligent, AI-powered assistants that understand natural language queries and return accurate results directly from your database.
• Add natural language processing (NLP) features like entity extraction, classification, and summarization within your database logic.

5. Custom Use Cases for Smart Analytics

• Empower your team with:
  

  1. AI-driven dashboards that auto-summarize KPIs

  2. Interactive analytics assistants embedded within admin panels

  3. Smart reporting engines that learn and adapt based on historical trends and queries