AI-powered query generation and explanation tools for PostgreSQL.
pgext.cloud · Source code · Documentation · Control file
| Package | ai_toolkit |
|---|---|
| Version | 1.0 |
| PostgreSQL versions | 18 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | No |
| Schema | ai_toolkit |
| Stars | 1 |
| Latest commit | 2025-11-15 |
| Catalogue updated | 2026-08-30 |
| ai | Helper functions for AI workflows in PostgreSQL |
| pg_deeplake | Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. |
| tencentdb_ai | TencentDB extension for calling large-model APIs and building in-database RAG workflows. |
| lantern_extras | Convenience functions for working with vector embeddings |
| pgclaw | Store LLM or OpenClaw agents as PostgreSQL values and process watched rows with a background worker |
| pgtoken | PostgreSQL extension for compact, codebook-compressed LLM token ID storage. Encode once, retrieve forever. O(1) token count without decoding. |
| ollama | Ollama client for PostgreSQL |
| avocado | AvocadoDB PostgreSQL extension for deterministic context compilation for AI agents. |
| rds_ai | Alibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL |
| pg_llm | Integrates local and remote large-language models with chat, sessions, text-to-SQL, audit and vector-backed knowledge features. |
| verisql | Audit-grade verification gateway for AI-generated SQL — catches silently wrong queries before they hit your dashboard, keeps tamper-evident audit trails, verifies migration equivalence. Zero LLM tokens for 90% of checks. |
| google_ml_integration | Google Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL. |