[SQL Fiddle][1]
MySQL 5.6 Schema Setup:
-- schema
CREATE TABLE Client (
ClientId INT NOT NULL AUTO_INCREMENT,
ClientName VARCHAR(35) NOT NULL,
Email varchar(100) NOT NULL,
PhoneNumber VARCHAR(11),
[SQL Fiddle][1]
MySQL 5.6 Schema Setup:
-- schema
CREATE TABLE Client (
ClientId INT NOT NULL AUTO_INCREMENT,
ClientName VARCHAR(35) NOT NULL,
Email varchar(100) NOT NULL,
PhoneNumber VARCHAR(11),
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.
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.
| "Imagine how hard physics would be if electrons could think." | --- Murray Gell-Mann (1969 Nobel Laureate in Physics)
People are more complicated than electrons because they tend to consider their self interests before acting. This makes people more difficult to model. Humans are modelled according to three basic frameworks:
| "Imagine how hard physics would be if electrons could think." | --- Murray Gell-Mann (1969 Nobel Laureate in Physics)
People are more complicated than electrons because they tend to consider their self interests before acting. This makes people more difficult to model. Humans are modelled according to three basic frameworks:
| these are some sql queries to do analytics on the mediawiki database. |
| //This command must occur after you create your tracker object and before you use any of the enhanced ecommerce specific functionality. | |
| ga('require', 'ec'); |
| SELECT | |
| hits.page.pagePath | |
| FROM | |
| 'bigquery-public-data.google_analytics_sample.ga_sessions_20160801' AS GA, | |
| UNNEST(GA.hits) AS hits | |
| GROUP BY | |
| hits.page.pagePath |