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Arnaud Benhamdine abenhamdine

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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@max-mapper
max-mapper / datagovmetadata.json
Created February 14, 2017 21:54
EOP-GOV Metadata
{"help": "https://catalog.data.gov/api/3/action/help_show?name=package_search", "success": true, "result": {"count": 48, "sort": "views_recent desc", "facets": {}, "results": [{"license_title": "License not specified", "maintainer": "New Media", "relationships_as_object": [], "private": false, "maintainer_email": "[email protected]", "num_tags": 5, "id": "59694770-b6b6-4ae0-a4b9-4ae69c0be2f6", "metadata_created": "2016-07-02T10:06:26.199575", "metadata_modified": "2016-07-02T10:06:26.199575", "author": null, "author_email": null, "state": "active", "version": null, "creator_user_id": "47303a9e-1187-4290-85a3-1fc02dc49e4a", "type": "dataset", "resources": [{"cache_last_updated": null, "package_id": "59694770-b6b6-4ae0-a4b9-4ae69c0be2f6", "webstore_last_updated": null, "id": "3a8a0ad1-19e7-4153-bb2f-d70cf88aaaf8", "size": null, "state": "active", "hash": "", "description": "", "format": "CSV", "tracking_summary": {"total": 32, "recent": 1}, "last_modified": null, "url_type": null, "no_real_name": "True",
@brianc
brianc / gist:f906bacc17409203aee0
Last active December 22, 2023 00:47
Some thoughts on node-postgres in web applications

Some thoughts on using node-postgres in a web application

This is the approach I've been using for the past year or so. I'm sure I'll change and it will change as I grow & am exposed to more ideas, but it's worked alright for me so far.

Pooling:

I would definitely use a single pool of clients throughout the application. node-postgres ships with a pool implementation that has always met my needs, but it's also fine to just use the require('pg').Client prototype and implement your own pool if you know what you're doing & have some custom requirements on the pool.

@rxaviers
rxaviers / gist:7360908
Last active April 22, 2026 11:25
Complete list of github markdown emoji markup

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