sahajamit

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.

sahajamit

#!/bin/bash

# This way you can customize which branches should be skipped when
# prepending commit message. 
if [ -z "$BRANCHES_TO_SKIP" ]; then
  BRANCHES_TO_SKIP=(master develop test)
fi

BRANCH_NAME=$(git symbolic-ref --short HEAD)
BRANCH_NAME="${BRANCH_NAME##*/}"

sahajamit

KUBE_TOKEN=$(</var/run/secrets/kubernetes.io/serviceaccount/token)
NAMESPACE=myapp-dev
CONFIGMAP_NAME=testconfig
curl -sSk \
  -X PATCH \
  -d @- \
  -H "Authorization: Bearer $KUBE_TOKEN" \
  -H 'Accept: application/json' \
  -H'Content-Type: application/strategic-merge-patch+json' \
  https://$KUBERNETES_SERVICE_HOST:$KUBERNETES_PORT_443_TCP_PORT/api/v1/namespaces/$NAMESPACE/configmaps/$CONFIGMAP_NAME <<'EOF'

sahajamit

Helm cheatsheet

• Helm cheatsheet
  • Get started
  • Struture
  • General Usage
  • Template
  • Hooks

sahajamit

mysql -uroot -p --local-infile

LOAD DATA LOCAL INFILE "file.csv"
INTO TABLE db.table
FIELDS TERMINATED BY ','
ENCLOSED BY '\"'
LINES TERMINATED BY '\n'

sahajamit

import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.util.Arrays;
import java.util.Iterator;
import java.util.Properties;
import org.I0Itec.zkclient.ZkClient;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;

sahajamit

const makeRequest = async () => {
  try {
    // this parse may fail
    const data = JSON.parse(await getJSON())
    console.log(data)
  } catch (err) {
    console.log(err)
  }
}

sahajamit

const makeRequest = () => {
  try {
    getJSON()
      .then(result => {
        // this parse may fail
        const data = JSON.parse(result)
        console.log(data)
      })
      // uncomment this block to handle asynchronous errors
      // .catch((err) => {

sahajamit

/**
 *     Uses:
 *     HTMLTableBuilder htmlBuilder = new HTMLTableBuilder(null, true, 2, 3);
 *     htmlBuilder.addTableHeader("1H", "2H", "3H");
 *     htmlBuilder.addRowValues("1", "2", "3");
 *     htmlBuilder.addRowValues("4", "5", "6");
 *     htmlBuilder.addRowValues("9", "8", "7");
 *     String table = htmlBuilder.build();
 *     System.out.println(table.toString());
 */