Show HN: Otlet – Local LLM inference "inside" Postgres
Otlet Otlet is a Postgres extension that runs local LLM inference inside Postgres, next to the rows it reads and acts on I started building it for an entity-resolution problem. New data arrived in Postgres, but the hard judgment would have to leave the database. I wanted a local model to do that work where the data already was, without copying rows into another system Keeping inference beside the data is safer and more efficient because sensitive rows do not need to travel to a model provider.
- ▪Otlet Otlet is a Postgres extension that runs local LLM inference inside Postgres, next to the rows it reads and acts on I started building it for an entity-resolution problem.
- ▪New data arrived in Postgres, but the hard judgment would have to leave the database.
- ▪I wanted a local model to do that work where the data already was, without copying rows into another system Keeping inference beside the data is safer and more efficient because sensitive rows do not need to travel to a model provider.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/joshmeek/otlet |
| Publication time | Mon, 27 Jul 2026 14:56:34 +0000 |
| Retrieval time | 2026-07-27T15:01:24.344Z |
| Last seen | 2026-07-27T15:01:24.344Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | XTpLk9O_1JjZ · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Otlet Otlet is a Postgres extension that runs local LLM inference inside Postgres, next to the rows it reads and acts on I started building it for an entity-resolution problem. New data arrived in Postgres, but the hard judgment would have to leave the database. I wanted a local model to do that work where the data already was, without copying rows into another system Keeping inference beside the data is safer and more efficient because sensitive rows do not need to travel to a model provider. Postgres permissions, transactions, provenance, and audit state stay in the path, and the application avoids a separate data-export and result-ingest pipeline.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.