IGOR KRAVTCOV kravik

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.

OpenClaw Prompts - Build Your Own AI Assistant

Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.

1. Personal CRM "Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."

2. Meeting Action Items (Fathom)

Reverse Engineering SP110e LED Controller

Through Bluetooth sniffing, using this method I've been able to (semi reliably) control the SP110e controller via Homebridge.

You can find this controller for very cheap here: https://www.aliexpress.com/item/4000773623427.html?spm=a2g0o.productlist.0.0.4f09329cJ7C1H4&algo_pvid=542e757b-587f-4540-8652-2195883f1349&algo_expid=542e757b-587f-4540-8652-2195883f1349-0&btsid=0bb0622a16012309671478585ed4bd&ws_ab_test=searchweb0_0,searchweb201602_,searchweb201603_

This entire guide is for Bluetooth LE libraries, and uses hexidecimal.

LE configuration

Using MobX with decorators in React Native

The following instructions should work with React Native v0.32:

Install mobx libraries.

npm install mobx --save
npm install mobx-react --save

	//------------------------------------------------------------------------
	// The SwiftUI Lab: Advanced SwiftUI Animations
	// https://swiftui-lab.com/swiftui-animations-part1 (Animating Paths)
	// https://swiftui-lab.com/swiftui-animations-part2 (GeometryEffect)
	// https://swiftui-lab.com/swiftui-animations-part3 (AnimatableModifier)
	//------------------------------------------------------------------------
	import SwiftUI

	struct ContentView: View {

	//
	// ViewController.swift
	// PanOnScroll
	//
	// Created by Shinichiro Oba on 2018/03/08.
	// Copyright © 2018 bricklife.com. All rights reserved.
	//

	import UIKit

	import Foundation
	import UIKit
	import CoreML
	import Vision

	// Quick and dirty example of how to fix Vision VNPixelBufferObservation BAD_ACCESS.
	// Please handle errors in swift by yourself, this code sample intended only for demonstration.
	// MLModel must have multiArray output and Image input.
	// Before using this functions install CoreMLHelpers from https://github.com/hollance/CoreMLHelpers

	import Vision
	//1
	let sourceImage = UIImage(named: "jony.jpg")
	var resultImage = sourceImage
	//2
	let detectFaceRequest = VNDetectFaceLandmarksRequest { (request, error) in
	//4
	if let results = request.results as? [VNFaceObservation] {
	//5
	for faceObservation in results {

	//
	// GameViewController.h
	// pulseeffectobjectivec
	//
	// Created by Lachlan Hurst on 10/3/17.
	// Copyright © 2017 Lachlan Hurst. All rights reserved.
	//

	#import <UIKit/UIKit.h>
	#import <SceneKit/SceneKit.h>

	import UIKit

	typealias Bough = (rotation:CGFloat, length: CGFloat, scale: CGFloat, hue: CGFloat)

	final class TreeView : UIView {
	private let limit = 10

	private let boughs : [Bough] = [
	(rotation: -25, length: 85, scale: 0.75, hue: 0.04),
	(rotation: 30, length: 100, scale: 0.65, hue: 0.02)