All Demos are available in Comments
Thanks to Kyriakos-Georgiopoulos
| /* | |
| * Copyright 2026 Kyriakos Georgiopoulos | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |
All Demos are available in Comments
Thanks to Kyriakos-Georgiopoulos
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.
| /* | |
| * Copyright 2026 Kyriakos Georgiopoulos | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |
| #!/bin/bash | |
| set -euo pipefail | |
| IFS=$'\n\t' | |
| PROJECT_ROOT=$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd) | |
| SCHEME="${SCHEME:-iosApp}" | |
| PROJECT_PATH="${PROJECT_PATH:-$PROJECT_ROOT/iosApp/iosApp.xcodeproj}" | |
| DERIVED_DATA="${DERIVED_DATA:-$PROJECT_ROOT/build/derived}" | |
| CONFIGURATION="${CONFIGURATION:-Debug}" | |
| APP_NAME="${APP_NAME:-iosApp}" |
| /* | |
| * Copyright 2025 Kyriakos Georgiopoulos | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |
| /* | |
| * Copyright 2025 Kyriakos Georgiopoulos | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |
| /** | |
| * Checks if the current network is connected to the internet and validated. | |
| * Validation indicates the network is functional (e.g., it can be used for browsing). | |
| * | |
| * @return True if the network is connected, has internet capability, and is validated; false otherwise. | |
| */ | |
| private fun Context.isInternetFunctional(): Boolean { | |
| val connectivityManager = getSystemService(Context.CONNECTIVITY_SERVICE) as ConnectivityManager | |
| val network = connectivityManager.activeNetwork | |
| val networkCapabilities = connectivityManager.getNetworkCapabilities(network) |