PostgreSQL extension for compact, codebook-compressed LLM token ID storage. Encode once, retrieve forever. O(1) token count without decoding.
pgext.cloud · Source code · Documentation · Control file
| Package | pgtoken |
|---|---|
| Version | 1.0 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | Yes |
| Stars | 2 |
| Latest commit | 2026-06-08 |
| Catalogue updated | 2026-08-30 |
| pg_deeplake | Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. |
| ollama | Ollama client for PostgreSQL |
| tencentdb_ai | TencentDB extension for calling large-model APIs and building in-database RAG workflows. |
| ai | Helper functions for AI workflows in PostgreSQL |
| pgclaw | Store LLM or OpenClaw agents as PostgreSQL values and process watched rows with a background worker |
| lantern_extras | Convenience functions for working with vector embeddings |
| avocado | AvocadoDB PostgreSQL extension for deterministic context compilation for AI agents. |
| ai_toolkit | AI-powered query generation and explanation tools for PostgreSQL. |
| google_ml_integration | Google Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL. |
| pg_llm | Integrates local and remote large-language models with chat, sessions, text-to-SQL, audit and vector-backed knowledge features. |
| rds_ai | Alibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL |
| pgmnemo | Single-plan multimodal agent memory for PostgreSQL |