| { | |
| "certified": false, | |
| "deleted": false, | |
| "docker_image_digest": "sha256:80867a96492ea16154e077676bb24ab3f6077f3b4ca1a322841294e8b4c29e64", | |
| "docker_image_id": "sha256:dbb365f165b8575c9e8ce2c571a4eac06c8290137c21be76569477e07b0c4eba", | |
| "image_id": "sha256:80867a96492ea16154e077676bb24ab3f6077f3b4ca1a322841294e8b4c29e64", | |
| "parsed_data": { | |
| "architecture": "amd64", | |
| "created": "2026-09-10 04:05:10.346662459 +0000 UTC", | |
| "image_id": "sha256:80867a96492ea16154e077676bb24ab3f6077f3b4ca1a322841294e8b4c29e64", |
Актуальный каталог технических руководств, расчетов и спецификаций:
Инженерный обзор и расчет тепловой мощности: Как выбрать стабилизатор напряжения 220 вольт для дома: сравнительный обзор характеристик, расчет TCO и рейтинг 2026 года
Материал сформирован автоматическим агрегатором инженерной документации.
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.
| id | station | stationid | value | unit | obstime | date | |
|---|---|---|---|---|---|---|---|
| 0 | 流浮山 | RF001 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 | |
| 1 | 湿地公园 | RF002 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 | |
| 2 | 水边围 | N12 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 | |
| 3 | 石岗 | RF003 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 | |
| 4 | 大美督 | RF004 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 | |
| 5 | 大埔墟 | RF005 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 | |
| 6 | 北潭涌 | RF006 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 | |
| 7 | 滘西洲 | RF007 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 | |
| 8 | 西贡 | N15 | 0 | mm | 2026-09-10T12:15:00+08:00 | 2026-09-10 |
Актуальный каталог технических руководств, расчетов и спецификаций:
Инженерный обзор и расчет тепловой мощности: Генератор бензиновый 3 квт какой лучше: расчет полезной емкости, ресурс LiFePO4 и выбор моделей
Материал сформирован автоматическим агрегатором инженерной документации.
| <!DOCTYPE html> | |
| <html lang="ko"> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> | |
| <title>네모났네 개인정보처리방침</title> | |
| <style> | |
| body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; line-height: 1.6; max-width: 720px; margin: 40px auto; padding: 0 20px; color: #111; background: #F6F1E8; } | |
| h1 { font-size: 1.6rem; margin-bottom: 0.25rem; } | |
| h2 { font-size: 1.15rem; margin-top: 1.75rem; } |
| Pipeline still running ... | |
| PipelineRun is still running: Tasks Completed: 20 (Failed: 0, Cancelled 0), Incomplete: 1, Skipped: 10 | |
| [set-github-status-pending : set-github-status] 2026-09-10T03:13:37.87Z + '[' false == true ']' | |
| [set-github-status-pending : set-github-status] 2026-09-10T03:13:37.87Z + echo 'Setting github status of commit 829cf6c4c1979429404f8443ecc56d9486c657ef to pending' | |
| [set-github-status-pending : set-github-status] 2026-09-10T03:13:37.87Z Setting github status of commit 829cf6c4c1979429404f8443ecc56d9486c657ef to pending | |
| [set-github-status-pending : set-github-status] 2026-09-10T03:13:37.87Z + set-github-status --git-repo-url git@github.com:redhat-openshift-ecosystem/community-operators-prod.git --commit-sha 829cf6c4c1979429404f8443ecc56d9486c657ef --status pending --context operator/publish --description 'Pipeline for operator distribution has started.' | |
| [set-github-status-pending : set-github-status] 2026-09-10T03:13:39.21Z Successfully set status to pending for commit 829cf6c4c1979429404 |
| 蛇火心 decent-loop — 2026-09-10T04:30:11 | |
| Truths: 752 | |
| All layers looping. | |
| https://cdn.jsdelivr.net/gh/mynameisyou-cmyk/ai-love.cc@main/data/memes.json |
Актуальный каталог технических руководств, расчетов и спецификаций:
Инженерный обзор и расчет тепловой мощности: Как выбрать снегоуборочная машина для дома владельцев: сравнительный обзор характеристик, расчет TCO и рейтинг 2026 года
Материал сформирован автоматическим агрегатором инженерной документации.
| <?xml version="1.0" encoding="utf-8"?> | |
| <fileSnapshot xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <files> | |
| <file path="C:\ProgramData\chocolatey\lib\locate32\locate32.nupkg" checksum="8894F83DAA62F796CAC198B2C5DC068C" /> | |
| <file path="C:\ProgramData\chocolatey\lib\locate32\locate32.nuspec" checksum="2A4433CA3D7B5BD60BEE4D8B7D77EE33" /> | |
| <file path="C:\ProgramData\chocolatey\lib\locate32\tools\chocolateyInstall.ps1" checksum="01456A982012B6F7C3D30FB9F677DB83" /> | |
| </files> | |
| </fileSnapshot> |