Local LLM inference inside PostgreSQL with background workers, queued tasks, receipts, and semantic data operations.
pgext.cloud · Source code · Documentation · Control file
| Package | otlet_pg |
|---|---|
| Version | 0.1.0 |
| Repository | Unspecified |
| Extension type | Standard |
| Project status | Active |
| Requires CREATE EXTENSION | Yes |
| Requires preload | No |
| Trusted | No |
| Relocatable | No |
| Stars | 3 |
| Latest commit | 2026-08-07 |
| Catalogue updated | 2026-08-30 |
| pgmnemo | Single-plan multimodal agent memory for PostgreSQL |
| vectorize | The simplest way to do vector search on Postgres |
| pg_summarize | Text Summarization using LLMs. Built using pgrx |
| postllm | postllm: PostgreSQL-native access to OpenAI-compatible and local LLM runtimes |
| pgclaw | Store LLM or OpenClaw agents as PostgreSQL values and process watched rows with a background worker |
| pgedge_vectorizer | Asynchronous text chunking and embedding generation for PostgreSQL using background workers and pgvector. |
| neurondb | AI database extension for vector search, ML inference, hybrid search, and RAG in PostgreSQL. |
| alohadb_nl2sql | Natural language to SQL translation via LLM API |
| rds_ai | Alibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL |
| pgtoken | PostgreSQL extension for compact, codebook-compressed LLM token ID storage. Encode once, retrieve forever. O(1) token count without decoding. |