text stringlengths 3 8.33k | repo stringclasses 52
values | path stringlengths 6 141 | language stringclasses 35
values | sha stringlengths 64 64 | chunk_index int32 0 273 | n_tokens int32 1 896 |
|---|---|---|---|---|---|---|
. Go and Chess ■ Objective: win the game ■ State: position of all pieces/figures ■ Action: where to put the next piece (Go), next legal move (Chess) ■ Reward: 1 if win at the end of the game, -1 if loss, 0 for draw 12/34"
},
{
"id": "unit-06-p014",
"sourceId": "unit-06",
"lectureId": "unit-06"... | hands-on-ai | lib/data/slide-index.json | JSON | 54ce6ea2eff4da87914fe7dddd0f8776ca586851eb2abd9614e84b9e2b354f3e | 123 | 896 |
",
"sourceId": "unit-06",
"lectureId": "unit-06",
"page": 16,
"title": "Unit 6: Introduction to Reinforcement Learning page 16",
"text": "Q-Learning Given some arbitrarily initialized Q-table (e.g., 0), repeatedly perform the following steps: 1. Given some state st, choose action at (rando... | hands-on-ai | lib/data/slide-index.json | JSON | ef9110f0782ba5289e1c7d873c9ac4df69182edd4b593c09ac4d31741805ada8 | 124 | 896 |
many RL problems, the agent starts in some initial state and interacts with the environment until it reaches a terminal state (e.g., win/loss in a game). ■ Such a sequence of states, actions, and rewards is called an episode. ■ After each episode, the agent can start again from the initial state and learn from the expe... | hands-on-ai | lib/data/slide-index.json | JSON | 841d9e3130f8956dfeaadd987f04c87e27696d7063cfedc21b1f8eebaa7c9174 | 125 | 896 |
location. ■ Taxi location indicated with yellow block (no passenger inside) or green block (passenger inside). 19/34"
},
{
"id": "unit-06-p021",
"sourceId": "unit-06",
"lectureId": "unit-06",
"page": 21,
"title": "Unit 6: Introduction to Reinforcement Learning page 21",
"text... | hands-on-ai | lib/data/slide-index.json | JSON | 58ea41a3301185bd529076479bac89c7da88c2bb125d2c42690e146035da6858 | 126 | 896 |
, a) \u0011 Q(s12, a1) ← 0.9 · 0 + 0.1 · −1 + max a Q(s174, a0) = 0 Q(s174, a1) = 0 Q(s174, a2) = 0 Q(s174, a3) = 0 Q(s174, a4) = 0 Q(s174, a5) = 0 Q(s12, a1) ← 0.1 · (−1 + 0) Q(s12, a1) ← −0.1 23/34",
"keywords": [],
"retrievalText": "Data and Supervised Lear... | hands-on-ai | lib/data/slide-index.json | JSON | 5bb5a77ad1ff084f6a1d870e6d1e69ee53d9f345d8ab835b0c414223b86dfbbd | 127 | 896 |
Man? ■ No, would need a huge Q-table: more than 1045 different states! ■ How to approximate Q(s, a)? → Deep Q-Learning □ Q-table → Neural network □ State → Input □ Q-values → Output 25/34",
"keywords": [
"q-learning",
"q-value",
"state",
"mdp",
"neural"
],
"retr... | hands-on-ai | lib/data/slide-index.json | JSON | e8cb4adee187de8640f533901ca1f443dafd6d48cd86641d50866e92f574731c | 128 | 896 |
■ Potential limitation in reachable performance. ■ After several innovations, superhuman performance was achieved only by self-play: AlphaGo Zero (2017). ■ Beating AlphaGo 100-0. ■ AlphaGo/AlphaGo Zero are not only based on Deep Learning. ■ Lookahead via Monte Carlo Tree Searchis crucial as well. 28/34"
},
{
... | hands-on-ai | lib/data/slide-index.json | JSON | 7c9347d5e421143ca448eb1d2c8e8b35899190796264d38ccbcfdb73da7d9dac | 129 | 896 |
": 35,
"title": "Unit 6: Introduction to Reinforcement Learning page 35",
"text": "Narrow AI vs. General AI ■ Games are a great testbed for RL algorithms, but the environment is often more predictable and restricted: □ Fixed rules and dynamics □ Well-defined reward structure □ Clear goals and terminal state... | hands-on-ai | lib/data/slide-index.json | JSON | 1361c9c1f237dad6495b403e46f2d1a2b0002169ace92a304d22459ec125e605 | 130 | 568 |
"""Build the Hands On AI II static exam trainer dataset.
The app is intentionally data-driven. This script keeps the UI logic reusable
while regenerating:
- public scan images for source dialogs
- lib/data/question-bank.json
- lib/data/slide-index.json
Only standard-library parsing is used for DOCX. PDF text/renderi... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 1b78c2a57dffbe75351a9af9899a49aacbd778b63e23aaa55bddd00edc1247ba | 0 | 896 |
"unit-03"],
"description": "Sequence input, feed-forward limitations, RNN output sizes, BPTT, LSTM gates, CEC, and RNN type mappings.",
},
{
"id": "language-models",
"title": "Language Models and Transformers",
"lectureIds": ["summary-unit-02", "unit-04"],
"description": ... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | d969c92061e90d46df67e32fbe74c54f72a0de6eca61034d50f556d04dbb768d | 1 | 896 |
"RNN TYPES": "sequence-models",
"WORD EMBEDDING": "language-models",
"WORD2VEC": "language-models",
"TRANSFORMERS": "language-models",
"SEL-ATTENTION": "language-models",
"SELF-ATTENTION": "language-models",
"DRUG DISCOVERY": "drug-discovery",
"TARGET PREDICTION": "drug-discovery",
"QSAR... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 970effa85561b0de562bcdaaf8a6c9bbe418482b69015e7fbee6546831f7a305 | 2 | 896 |
of length $T_x > 1$, the output/prediction length is $T_y = 1$.",
"Given an input of length $T_x = 1$, the output/prediction length is $T_y > 1$.",
"Given an input of length $T_x = 1$, the output/prediction length is $T_y = 1$.",
"Given an input of length $T_x > 1$, the output/predic... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 4a5e951f33b153df81001da8b0194bf855ecfdc060337ba3963513d33b6953d2 | 3 | 896 |
following statements is true about sequence data input and standard, feed-forward neural networks?",
[
"Sequences with variable lengths must be preprocessed before they can be an input to a feed-forward neural network.",
"The relation of elements in the sequence is preserved.",
... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 4673834b0ecd302db6d6295c9107f3709e914d7dfa8736be22faa91ece6eb6fb | 4 | 896 |
],
"d",
"Deep Q-learning replaces a tabular Q-function with a neural network approximation.",
),
ExamQuestionSpec(
18,
"neural-networks",
"Which of the following statements is true about the vanishing gradient problem?",
[
"The vanishing gradient probl... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 2b4e67f1fad8476cff1bbece15c76e55f7b4ef8fb31856a76269394da8784b14 | 5 | 896 |
$x = 10$. Which statement is correct?",
[
"$y$ is in the range $(-\\frac{1}{4}, 0)$.",
"$y$ is close to $x$.",
"$y$ is in the range $(0, \\frac{1}{4})$.",
"$y$ is $> 1$.",
],
"c",
"The sigmoid derivative is positive and at most 1/4. At inpu... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 0e5458e818472eacca23aa5f8cc82be7a7f15c6f6c50d9f5dae36816e6423cd9 | 6 | 896 |
no other regularization techniques can be applied.",
],
"c",
"Dropout randomly disables units during training. At inference time, the full network is used with the appropriate scaling behavior.",
),
ExamQuestionSpec(
31,
"drug-discovery",
"Which of the following s... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 753077ce72839668735f52a0ad6c8de4026e0f26be49ecc78e096b9ae09d273a | 7 | 896 |
: Path, prefix: str) -> None:
if output_dir.exists():
shutil.rmtree(output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
doc = fitz.open(pdf_path)
for page_index in range(doc.page_count):
page = doc.load_page(page_index)
pix = page.get_pixmap(matrix=fitz.Matrix(2, 2), alpha... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 7c52ece1b8a3722238d1e05040235a39f2eb27cfecede708cd6f99508af2f602 | 8 | 896 |
group-a-page-{page_number:02}.png",
"pageCount": 1,
"pageNumber": page_number,
"sourceQuality": "primary_capture",
}
)
return sources
def build_exam_questions() -> list[dict]:
questions = []
for spec in EXAM_2026:
page = ((spec.n... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 5743e7b7be7e7015e597d94d66d2b45093c286874bda6b2bb267580614eceb95 | 9 | 896 |
}
],
topic_id=topic_id,
difficulty=infer_difficulty(stem),
cognitive=infer_cognitive(stem),
interaction=interaction,
stem=stem,
choices=choices,
correct_indices=correct_indices,
explanation=f"Correct according to... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | a09074007d0c12392509c2fccad6a6e812de8febc0b5f5401392b99908356fa3 | 10 | 896 |
get("_recurrenceCount", 0) < 2
]
fallback_historical.sort(
key=lambda question: (
-int(question.get("_yieldScore", 0)),
question["id"],
)
)
selected.extend(fallback_historical[: 50 - len(selected)])
return [strip_private_fields... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 8587a4808ae3c59e901d528dae505997e1c3d82dd1006e57b4fd1ede241c7dda | 11 | 896 |
^)]+\)\s*)+", text))
def normalize_section(text: str) -> str:
text = re.sub(r"\s+", " ", text.strip())
text = re.sub(r"^UNIT \d+\s+", "", text, flags=re.IGNORECASE)
if text == "VANISIHNG GRADIENTS":
return "VANISHING GRADIENTS"
if text == "SEL-ATTENTION":
return "SELF-ATTENTION"
re... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 21e8b6b440381a0c5437f85465fa9e4cee9006530768211c944a530a17bb330c | 12 | 896 |
set[str] = set()
for page_number, page in enumerate(reader.pages, start=1):
text = page.extract_text() or ""
if is_low_value_slide_page(text):
continue
for statement in fact_candidates_from_text(text):
if statement in seen:
continue
seen.a... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 0168327c923da18d07c1e243f6f023dec85ba36b5972a079716471fc16a49da1 | 13 | 896 |
blocked = [
"copyright statement",
"this material",
"hands-on ai ii",
"rainer dangl",
"institute for machine learning",
"content of unit",
"literature",
"figure",
"in the following",
"take a look",
"this means that we",
"we ... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 425944ea22f7267a18ff93625cdac57422bd9122d7a663ef71940ade7d9a5efc | 14 | 896 |
,
}
for unit in UNIT_SLIDES
],
]
for source in slide_sources:
reader = PdfReader(str(ROOT / source["fileName"]))
for page_index, page in enumerate(reader.pages, start=1):
text = normalize_pdf_text(page.extract_text() or "")
if not text:
... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | f5e46ae80255d784b2a5b5cdaece3a1c59b2c98d591cf493c3c88fd5e0f6504a | 15 | 896 |
return "application"
return "conceptual"
def keywords_for_text(text: str) -> list[str]:
lowered = text.lower()
keywords = []
for topic_keywords in TOPIC_KEYWORDS.values():
for keyword in topic_keywords:
if keyword in lowered:
keywords.append(keyword)
return uniq... | hands-on-ai | scripts/build-hands-on-ai-dataset.py | Python | 44081c6d3e1fa18dcaea2cb490dbe63e545cada1f7ea7cd3c6afa7986487333f | 16 | 386 |
#logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
.pnpm-debug.log*
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Cover... | htl-donaustadt-chatbot | .gitignore | Git Ignore | e4598e463b1540f45a36ba0252e98fe7eb03d621ac1af63244a14a6f14592e37 | 0 | 544 |
/// <reference types="next" />
/// <reference types="next/image-types/global" />
// NOTE: This file should not be edited
// see https://nextjs.org/docs/basic-features/typescript for more information.
| htl-donaustadt-chatbot | next-env.d.ts | TypeScript | 9269d492817e359123ac64c8205e5d05dab63d71a3a7a229e68b5d9a0e8150bf | 0 | 62 |
/** @type {import('next').NextConfig} */
module.exports = {
reactStrictMode: true,
images: {
remotePatterns: [
{
protocol: 'https',
hostname: 'avatars.githubusercontent.com',
port: '',
pathname: '**'
}
]
}
}
| htl-donaustadt-chatbot | next.config.js | JavaScript | 13276343c42464d3601259da18b10236d702787bb638e5b96ae24e0643ad51d2 | 0 | 64 |
{
"name": "htl-donaustadt-chatbot",
"version": "1.8.7",
"author": "Julian S, Markus Wanke",
"private": false,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint"
},
"dependencies": {
"@pinecone-database/pinecone": "^1.1.2",
"@radix-ui/r... | htl-donaustadt-chatbot | package.json | JSON | 642e20ec03dbc2d905139e8dd7e04df49af818441ce92323b2ba7f1c2f557738 | 0 | 791 |
<a href="https://www.htl-donaustadt.chat">
<img alt="Next.js 13 and app template Router-ready AI chatbot." src="https://www.htl-donaustadt.chat/og.png">
<h1 align="center">HTL Donaustadt AI Chatbot</h1>
</a>
<p align="center">
Ein AI Chatbot für die HTL Donaustadt.
</p>
<p align="center">
<a href="#features"... | htl-donaustadt-chatbot | README.md | Markdown | 6df7f7993b13df975014da79b6dbca1b45e22dc6f78d02e7ff84cbf0d568df2b | 0 | 511 |
const { fontFamily } = require("tailwindcss/defaultTheme");
/** @type {import('tailwindcss').Config} */
module.exports = {
darkMode: ["class"],
content: ["app/**/*.{ts,tsx}", "components/**/*.{ts,tsx}"],
theme: {
container: {
center: true,
padding: "2rem",
screens: {
"2xl": "1400px"... | htl-donaustadt-chatbot | tailwind.config.ts | TypeScript | 3a84de83a6992a4aa5a4c343bbdcddb7b774ffbfb40dff5d917d1f2820333c6b | 0 | 815 |
@tailwind base;
@tailwind components;
@tailwind utilities;
@layer base {
:root {
--background: 0 10% 100%;
--foreground: 240 10% 3.9%;
--card: 0 0% 100%;
--card-foreground: 240 10% 3.9%;
--popover: 0 0% 100%;
--popover-foreground: 240 10% 3.9%;
--primary: 240 5.9% 10%;
--primary-for... | htl-donaustadt-chatbot | app/globals.css | CSS | a11045cdeaaadec0967d5d8c21a163bdcc7e5b445384b257e6bcb11e3c330b1b | 0 | 466 |
import { Metadata, Viewport } from 'next'
import { Toaster } from 'react-hot-toast'
import '@/app/globals.css'
import { fontMono, fontSans } from '@/lib/fonts'
import { cn } from '@/lib/utils'
import { TailwindIndicator } from '@/components/tailwind-indicator'
import { Providers } from '@/components/providers'
import... | htl-donaustadt-chatbot | app/layout.tsx | TypeScript | d1dc85910f547bfa9e57d787519d6b835f0187d0c805d20fd585893088f84b42 | 0 | 592 |
import { nanoid } from '@/lib/utils'
import { Chat } from '@/components/chat'
export const runtime = 'edge'
export default function IndexPage() {
const id = nanoid()
return <Chat id={id} />
}
| htl-donaustadt-chatbot | app/page.tsx | TypeScript | dc4b5d336a1174eaf680d024324ddcf667a34a4b2a174131c93465f5cff8b1eb | 0 | 55 |
import { MetadataRoute } from "next"
export default function robots(): MetadataRoute.Robots {
return {
rules: {
userAgent: "*",
allow: "/",
},
}
} | htl-donaustadt-chatbot | app/robots.ts | TypeScript | fb4507e23a21dc791ef5ff66ee2e6374678d1a4153591267d804a5ab97da63e4 | 0 | 40 |
import { Message as VercelChatMessage, StreamingTextResponse } from 'ai'
import { NextResponse } from 'next/server'
import { PineconeStore } from 'langchain/vectorstores/pinecone'
import { OpenAIEmbeddings } from 'langchain/embeddings/openai'
import { ChatOpenAI } from 'langchain/chat_models/openai'
import { RunnableSe... | htl-donaustadt-chatbot | app/api/chat/route.ts | TypeScript | 137cbfcd4ce5020cf350c64a83ba685cbd71010386e250de638a330ee3fe5ed0 | 0 | 896 |
?? '')
if (!pineconeIndex) {
throw new Error('Pinecone index not found')
}
/* Create vector store instance from pinecone index */
const vectorStore = await PineconeStore.fromExistingIndex(
new OpenAIEmbeddings({}),
{
pineconeIndex,
textKey: 'text'
}
)
c... | htl-donaustadt-chatbot | app/api/chat/route.ts | TypeScript | a0edb9cbbeaf1989ffb2c2e021ab3c419db2540c741a02500150afa00ef44723 | 1 | 457 |
import { nanoid } from '@/lib/utils'
import { Chat } from '@/components/chat'
export const runtime = 'edge'
export default function DataViewerPage() {
return <p className="text-2xl text-center">NOT IMPLEMENTED...</p>
}
| htl-donaustadt-chatbot | app/data/page.tsx | TypeScript | 9c5cf49c2ca3a6c63148f1d6ff807e539fade2a4895bcb6c84f581f853edd21a | 0 | 63 |
'use client'
import * as React from 'react'
import { cn } from '@/lib/utils'
import { useAtBottom } from '@/lib/hooks/use-at-bottom'
import { Button, type ButtonProps } from '@/components/ui/button'
import { IconArrowDown } from '@/components/ui/icons'
export function ButtonScrollToBottom({ className, ...props }: Bu... | htl-donaustadt-chatbot | components/button-scroll-to-bottom.tsx | TypeScript | 295e6de7c5b92d23c443a317f33fb32da0a7258ad7f99388001b5eff86c44894 | 0 | 225 |
import { type Message } from 'ai'
import { Separator } from '@/components/ui/separator'
import { ChatMessage } from '@/components/chat-message'
export interface ChatList {
messages: Message[]
}
export function ChatList({ messages }: ChatList) {
if (!messages.length) {
return null
}
return (
<div cla... | htl-donaustadt-chatbot | components/chat-list.tsx | TypeScript | 84a0f035f0d18351e7c13527d201e3abcf883a838b04ba5a0dbfeafba6d6f1c1 | 0 | 163 |
// Inspired by Chatbot-UI and modified to fit the needs of this project
// @see https://github.com/mckaywrigley/chatbot-ui/blob/main/components/Chat/ChatMessage.tsx
import { Message } from 'ai'
import remarkGfm from 'remark-gfm'
import remarkMath from 'remark-math'
import { cn } from '@/lib/utils'
import { CodeBlock ... | htl-donaustadt-chatbot | components/chat-message.tsx | TypeScript | 0a75875b5d1e750396804ee67a5639bbc295e2d9b96b69bdb4059e4346355d0a | 0 | 616 |
import { type UseChatHelpers } from 'ai/react'
import { Button } from '@/components/ui/button'
import { PromptForm } from '@/components/prompt-form'
import { ButtonScrollToBottom } from '@/components/button-scroll-to-bottom'
import { IconRefresh, IconStop } from '@/components/ui/icons'
import { FooterText } from '@/co... | htl-donaustadt-chatbot | components/chat-panel.tsx | TypeScript | a589d401dadffa6095398792edc4fdc2efd14eff73fbce2fd6a36dd76cd1c21f | 0 | 467 |
'use client'
import * as React from 'react'
import { useInView } from 'react-intersection-observer'
import { useAtBottom } from '@/lib/hooks/use-at-bottom'
interface ChatScrollAnchorProps {
trackVisibility?: boolean
}
export function ChatScrollAnchor({ trackVisibility }: ChatScrollAnchorProps) {
const isAtBotto... | htl-donaustadt-chatbot | components/chat-scroll-anchor.tsx | TypeScript | 5d29c511970e1dd9f575329e9dcd757663230c0cb80b1a009d3247e54d2d8df0 | 0 | 170 |
'use client'
import { useChat, type Message } from 'ai/react'
import { cn } from '@/lib/utils'
import { ChatList } from '@/components/chat-list'
import { ChatPanel } from '@/components/chat-panel'
import { EmptyScreen } from '@/components/empty-screen'
import { ChatScrollAnchor } from '@/components/chat-scroll-anchor... | htl-donaustadt-chatbot | components/chat.tsx | TypeScript | 7a2ef28c7cff9a5533e6e4980352e0104ad2104919c5372ac868afcf4ac33aa4 | 0 | 398 |
import { UseChatHelpers } from 'ai/react'
import { Button } from '@/components/ui/button'
import { ExternalLink } from '@/components/external-link'
import { IconArrowRight } from '@/components/ui/icons'
import { ThemeToggle } from './theme-toggle'
const exampleMessages = [
{
heading: 'Erzähle mir etwas über die... | htl-donaustadt-chatbot | components/empty-screen.tsx | TypeScript | b40ac27a81767ecca699b171bd98bcec7067e1857691b9ec7cd23a86a876c2b5 | 0 | 605 |
import React from 'react'
import { cn } from '@/lib/utils'
import { ExternalLink } from '@/components/external-link'
export function FooterText({ className, ...props }: React.ComponentProps<'p'>) {
return (
<p
className={cn(
'px-2 text-center text-xs leading-normal text-muted-foreground',
... | htl-donaustadt-chatbot | components/footer.tsx | TypeScript | 4ff1a29dfb4aabcfb4785607077ee6c687bc2288ed22fa7ec152abbb0f1c4c3e | 0 | 106 |
import * as React from 'react'
import Link from 'next/link'
import { cn } from '@/lib/utils'
// import { auth } from '@/auth'
// import { clearChats } from '@/app/actions'
import { Button, buttonVariants } from '@/components/ui/button'
// import { Sidebar } from '@/components/sidebar'
// import { SidebarList } from '@... | htl-donaustadt-chatbot | components/header.tsx | TypeScript | 2636fb970408ca09c23bb2a0e61e368f2e1f17969f039700b01b5db0f047683d | 0 | 441 |
import { UseChatHelpers } from 'ai/react'
import * as React from 'react'
import Textarea from 'react-textarea-autosize'
import { Button, buttonVariants } from '@/components/ui/button'
import { IconArrowElbow, IconPlus } from '@/components/ui/icons'
import {
Tooltip,
TooltipContent,
TooltipTrigger
} from '@/compo... | htl-donaustadt-chatbot | components/prompt-form.tsx | TypeScript | e8018ac5bee84dd3adafd5783102ec7decbe1fa5927121c5832dc1db6fd9fa94 | 0 | 519 |
'use client'
import * as React from 'react'
import { ThemeProvider as NextThemesProvider } from 'next-themes'
import { ThemeProviderProps } from 'next-themes/dist/types'
import { TooltipProvider } from '@/components/ui/tooltip'
export function Providers({ children, ...props }: ThemeProviderProps) {
return (
<N... | htl-donaustadt-chatbot | components/providers.tsx | TypeScript | 007c4b55f6cbfedb40908628fa62c53ea4265c3cf485dbf9e1af1026a0c9e32c | 0 | 95 |
'use client'
import * as React from 'react'
import { useTheme } from 'next-themes'
import { Button } from '@/components/ui/button'
import { IconMoon, IconSun } from '@/components/ui/icons'
export function ThemeToggle() {
const { setTheme, theme } = useTheme()
const [_, startTransition] = React.useTransition()
... | htl-donaustadt-chatbot | components/theme-toggle.tsx | TypeScript | ab1f0b0d08d1b011dc32f28d3a9584d3c82fa07678d84055e22bc7d59c5f1d76 | 0 | 196 |
'use client'
import * as React from 'react'
import * as DialogPrimitive from '@radix-ui/react-dialog'
import { cn } from '@/lib/utils'
import { IconClose } from '@/components/ui/icons'
const Dialog = DialogPrimitive.Root
const DialogTrigger = DialogPrimitive.Trigger
const DialogPortal = ({
className,
children,... | htl-donaustadt-chatbot | components/ui/dialog.tsx | TypeScript | 71aac6f1305e6106b2f0164b2764f6eb65ad7873a7f9934730d7a3b89dc16d50 | 0 | 896 |
>
))
DialogTitle.displayName = DialogPrimitive.Title.displayName
const DialogDescription = React.forwardRef<
React.ElementRef<typeof DialogPrimitive.Description>,
React.ComponentPropsWithoutRef<typeof DialogPrimitive.Description>
>(({ className, ...props }, ref) => (
<DialogPrimitive.Description
ref={ref}
... | htl-donaustadt-chatbot | components/ui/dialog.tsx | TypeScript | 5a892055bee37a998de4f2d084b366d0b4044f6e4f5398a231247ece15f27996 | 1 | 118 |
'use client'
import * as React from 'react'
import { cn } from '@/lib/utils'
function IconNextChat({
className,
inverted,
...props
}: React.ComponentProps<'svg'> & { inverted?: boolean }) {
const id = React.useId()
return (
<svg
viewBox="0 0 17 17"
fill="none"
xmlns="http://www.w3.or... | htl-donaustadt-chatbot | components/ui/icons.tsx | TypeScript | 3f3f9ab4853a23897ea5630fd53355e6f6a405d40df6d77a2491184c083f213b | 0 | 896 |
.9847 5.9847 0 0 0 13.2599 24a6.0557 6.0557 0 0 0 5.7718-4.2058 5.9894 5.9894 0 0 0 3.9977-2.9001 6.0557 6.0557 0 0 0-.7475-7.0729zm-9.022 12.6081a4.4755 4.4755 0 0 1-2.8764-1.0408l.1419-.0804 4.7783-2.7582a.7948.7948 0 0 0 .3927-.6813v-6.7369l2.02 1.1686a.071.071 0 0 1 .038.052v5.5826a4.504 4.504 0 0 1-4.4945 4.4944zm... | htl-donaustadt-chatbot | components/ui/icons.tsx | TypeScript | 873a49f56d6761858f0e33e23fcd3be8023e4c5595b6b6076b9455587ee4e1d4 | 1 | 896 |
0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.... | htl-donaustadt-chatbot | components/ui/icons.tsx | TypeScript | 0d9c076d02f2a1b5d08b548b5d77b8b327dcc3b4d3290b65b8b306b104dcf69a | 2 | 896 |
}
function IconPlus({ className, ...props }: React.ComponentProps<'svg'>) {
return (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 256 256"
fill="currentColor"
className={cn('h-4 w-4', className)}
{...props}
>
<path d="M224 128a8 8 0 0 1-8 8h-80v80a8 8 0 0 1-16 0v-8... | htl-donaustadt-chatbot | components/ui/icons.tsx | TypeScript | 14aaac778ed3fe2b7e791759b08375488ff5bbf159b128aedb7ff21b88fe9288 | 3 | 896 |
0Zm48 0v64a8 8 0 0 1-16 0v-64a8 8 0 0 1 16 0Z" />
</svg>
)
}
function IconRefresh({ className, ...props }: React.ComponentProps<'svg'>) {
return (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 256 256"
fill="currentColor"
className={cn('h-4 w-4', className)}
{...props}
... | htl-donaustadt-chatbot | components/ui/icons.tsx | TypeScript | 2e68bba29b48bea6654e224e547239d85832cb6c5f83292f3bb9c71ae9ac35aa | 4 | 896 |
React.ComponentProps<'svg'>) {
return (
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 256 256"
fill="currentColor"
className={cn('h-4 w-4', className)}
{...props}
>
<path d="M120 40V16a8 8 0 0 1 16 0v24a8 8 0 0 1-16 0Zm72 88a64 64 0 1 1-64-64 64.07 64.07 0 0 1 64 64Z... | htl-donaustadt-chatbot | components/ui/icons.tsx | TypeScript | 84ef7dfe4c76e7d246e5855870da4f5d1189ec9873aa4f74dc70b999c0f6effe | 5 | 896 |
://www.w3.org/2000/svg"
viewBox="0 0 256 256"
fill="currentColor"
className={cn('h-4 w-4', className)}
{...props}
>
<path d="M205.66 194.34a8 8 0 0 1-11.32 11.32L128 139.31l-66.34 66.35a8 8 0 0 1-11.32-11.32L116.69 128 50.34 61.66a8 8 0 0 1 11.32-11.32L128 116.69l66.34-66.35a8 8 0 0 1 ... | htl-donaustadt-chatbot | components/ui/icons.tsx | TypeScript | 87c085efda15e062623dd920d70a77fff4eb8e82da2048b61023e62bb993715a | 6 | 896 |
svg"
fill="currentColor"
className={cn('h-4 w-4', className)}
viewBox="0 0 256 256"
{...props}
>
<path d="M224 104a8 8 0 0 1-16 0V59.32l-66.33 66.34a8 8 0 0 1-11.32-11.32L196.68 48H152a8 8 0 0 1 0-16h64a8 8 0 0 1 8 8Zm-40 24a8 8 0 0 0-8 8v72H48V80h72a8 8 0 0 0 0-16H48a16 16 0 0 0-16 16... | htl-donaustadt-chatbot | components/ui/icons.tsx | TypeScript | 7b4f848851461bda3a68863782edc43b9f0aa396d8e200d654205ccdf961616e | 7 | 400 |
'use client'
import * as React from 'react'
import * as SheetPrimitive from '@radix-ui/react-dialog'
import { cn } from '@/lib/utils'
import { IconClose } from '@/components/ui/icons'
const Sheet = SheetPrimitive.Root
const SheetTrigger = SheetPrimitive.Trigger
const SheetClose = SheetPrimitive.Close
const SheetP... | htl-donaustadt-chatbot | components/ui/sheet.tsx | TypeScript | bec1ff3132a1bd462e5cd3c3568eec4da148cc44cb5957e838f812234404d421 | 0 | 896 |
<typeof SheetPrimitive.Description>
>(({ className, ...props }, ref) => (
<SheetPrimitive.Description
ref={ref}
className={cn('text-sm text-muted-foreground', className)}
{...props}
/>
))
SheetDescription.displayName = SheetPrimitive.Description.displayName
export {
Sheet,
SheetTrigger,
SheetClos... | htl-donaustadt-chatbot | components/ui/sheet.tsx | TypeScript | 3e26e76236f78c3c0f950ebbecff1f95db8ce068983034df251addc8a0e07f4b | 1 | 88 |
"use client"
import * as React from "react"
import * as SwitchPrimitives from "@radix-ui/react-switch"
import { cn } from "@/lib/utils"
const Switch = React.forwardRef<
React.ElementRef<typeof SwitchPrimitives.Root>,
React.ComponentPropsWithoutRef<typeof SwitchPrimitives.Root>
>(({ className, ...props }, ref) =>... | htl-donaustadt-chatbot | components/ui/switch.tsx | TypeScript | 2b441c2680c1576442cb900cb5266d812e60943b02a2b00ac883d671625ecf81 | 0 | 308 |
import { IconGitHub, IconHTL } from '@/components/ui/icons'
import { SiteConfig } from 'types'
export const siteConfig: SiteConfig = {
name: 'HTL Donaustadt - AI Chatbot',
description: 'AI Chatbot für die HTL Donaustadt',
url: 'https://www.htl-donaustadt.chat',
links: [
{
name: 'HTL Donaustadt',
... | htl-donaustadt-chatbot | config/config.ts | TypeScript | f9834c418f21d89c809862f02a7e9900da9db27835e8b1778ed2d3139a2a687c | 0 | 167 |
import {
type AIStreamCallbacksAndOptions,
createCallbacksTransformer
} from 'ai'
export function LangChainStream(callbacks?: AIStreamCallbacksAndOptions) {
const stream = new TransformStream()
const writer = stream.writable.getWriter()
const runs = new Set()
const handleError = async (e: Error, runId: s... | htl-donaustadt-chatbot | lib/lang-chain-stream.ts | TypeScript | a10135601a397256b265de1eb2cc095997ca45ffbad1f397f25a17311cc2b7b5 | 0 | 499 |
import { type ClassValue, clsx } from 'clsx'
import { customAlphabet } from 'nanoid'
import { twMerge } from 'tailwind-merge'
export function cn(...inputs: ClassValue[]) {
return twMerge(clsx(inputs))
}
export const nanoid = customAlphabet(
'0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz',
7
) /... | htl-donaustadt-chatbot | lib/utils.ts | TypeScript | 20b8043baaa9d003134d7993297880fbf72f5374a030b51097c9007dc48caacf | 0 | 236 |
import * as React from 'react'
export function useAtBottom(offset = 0) {
const [isAtBottom, setIsAtBottom] = React.useState(false)
React.useEffect(() => {
const handleScroll = () => {
setIsAtBottom(
window.innerHeight + window.scrollY >=
document.body.offsetHeight - offset
)
... | htl-donaustadt-chatbot | lib/hooks/use-at-bottom.ts | TypeScript | 5ec0f305206a0d1f53a64df240d490151fa9013dbd52b12c9e1e64fdc5ad73ea | 0 | 112 |
{
"name": "HTL Donaustadt AI Chatbot",
"short_name": "HTL22 Chatbot",
"icons": [
{
"src": "/android-chrome-192x192.png",
"sizes": "192x192",
"type": "image/png"
},
{
"src": "/android-chrome-512x512.png",
"sizes": "512x512",
... | htl-donaustadt-chatbot | public/site.webmanifest | Web Manifest | c434ca77478956768fe3df8bdb40d59b21ade4bdf00ff03dc9942ba57e183631 | 0 | 127 |
export type SiteConfig = {
name: string
description: string
url: string
links?: LinkConfig[]
}
export type LinkConfig = {
name: string
shortName?: string
url: string
variant?:
| 'default'
| 'destructive'
| 'outline'
| 'secondary'
| 'ghost'
| 'link'
| null
| undefined
c... | htl-donaustadt-chatbot | types/index.d.ts | TypeScript | 3c6add2f6a81197b04d44b68e331e4205889283a414dfd0b8756154c4c51aa19 | 0 | 76 |
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Document</title>
<style>
html,
body {
height: 100%;
margin: 0;
padding: 0;
border: 0;
}
body {
... | html-starter | index.html | HTML | 7722c47d93039dec7f85dfccf9088c7b7d18faa1027d9e4e7edb77f191f3c12b | 0 | 174 |
import { next } from '@vercel/edge';
export default function middleware(req) {
return next({
headers: {
'Referrer-Policy': 'origin-when-cross-origin',
'X-Frame-Options': 'DENY',
'X-Content-Type-Options': 'nosniff',
'X-DNS-Prefetch-Control': 'on',
'Strict-Transport-Security':
... | html-starter | middleware.js | JavaScript | fe4c94ca4463247a5edd01c27c8db5b63d9243b5ba6358ef62b223c24c6b4580 | 0 | 109 |
{
"private": true,
"dependencies": {
"@vercel/edge": "^0.1.2"
}
}
| html-starter | package.json | JSON | b86eefe3ff7229d0783bc3c53daef3bdac964dbe60a9ef67ae40c521219f9c78 | 0 | 27 |
---
name: HTML Starter
slug: html-starter-with-analytics
description: HTML5 template with analytics and advanced routing configuration.
deployUrl: https://vercel.com/new/clone?repository-url=https://github.com/vercel/examples/tree/main/solutions/html&project-name=html
relatedTemplates:
- nextjs-boilerplate
---
# HTM... | html-starter | README.md | Markdown | e432b1a2c93b0557ed95754be5994bf9c4f037edbd17f07165b5bc2394567345 | 0 | 199 |
{
"extends": [
"next/core-web-vitals",
"plugin:import/recommended",
"plugin:import/typescript",
"prettier",
"plugin:tailwindcss/recommended"
],
"plugins": ["tailwindcss"],
"rules": {
"tailwindcss/no-custom-classname": "off",
"tailwindcss/classnames-order": "off"
},
"settings": {
... | ifg-agentic | .eslintrc.json | JSON | f7dcbb73e7748b2a78c291b409aeecb4bfb8d47f2cd5fbc29c0c9ed0dd254fe3 | 0 | 143 |
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
.pnpm-debug.log*
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
#... | ifg-agentic | .gitignore | Git Ignore | 8381a31c2a56690ba395653a6cd71b6f378683e0925dc9eea595c853c47757fe | 0 | 529 |
{
"$schema": "./node_modules/@biomejs/biome/configuration_schema.json",
"extends": ["ultracite"],
"files": {
"includes": [
"**/*",
"!components/ui",
"!lib/utils.ts",
"!hooks/use-mobile.ts"
]
},
"linter": {
"rules": {
"suspicious": {
/* Needs more work to fix *... | ifg-agentic | biome.jsonc | JSON | 313a6ee30dbb3ffedfc84fd02499612c473b7539447bec4d7d0c7a2bdbc74db5 | 0 | 513 |
{
"$schema": "https://ui.shadcn.com/schema.json",
"style": "default",
"rsc": true,
"tsx": true,
"tailwind": {
"config": "tailwind.config.ts",
"css": "app/globals.css",
"baseColor": "zinc",
"cssVariables": true,
"prefix": ""
},
"iconLibrary": "lucide",
"aliases": {
"components": "... | ifg-agentic | components.json | JSON | 67543bf3ab584dd5a1f32b4fbd2bf8cf719b3c836004c1c7cf25686856daaf7e | 0 | 194 |
fragdenstaat.gv.at – eine digitale Workflow-Lösung für
transparente und effiziente IFG-, IWG- & DZG-Anfragen
1. Einleitung 2
1.1 Hintergrund: Paradigmenwechsel in der Informationsfreiheit – IFG, IWG und DZG als neue
Grundlagen für den Datenzugang 2
Bedeutung für verschiedene rechtliche Rahmenwerke 3
1.2 Ziel des Konzep... | ifg-agentic | konzept.txt | Text | 13cf36c3cbb8c9acc2c07eeca76e72b3bcc4629897e23cfbf1de608f04fc11c3 | 0 | 896 |
eine digitale Infrastruktur, die es
ermöglicht, Anfragen effizient zu bearbeiten bzw. weiterzuleiten, Fristen
einzuhalten und bereits veröffentlichte Informationen leicht auffindbar zu
machen.
2. Informationsweiterverwendungsgesetz (IWG): Open Data und kommerzielle
Nutzung von Verwaltungsdaten
○ Das IWG stellt die Umse... | ifg-agentic | konzept.txt | Text | e82b94725934a61afc1949b2b11a444a30486c2d2d494f203bf9d6f352100153 | 1 | 896 |
bürgerfreundliches System schafft, das die Umsetzung der
Informationsfreiheit maßgeblich unterstützt.
● Synergien nutzt und durch Automatisierung Kosten spart.
● Ein Best-Practice-Beispiel für eine digitale Verwaltungslösung schafft, das
Modellcharakter für weitere E-Government-Services haben kann.
● politisch Verantwo... | ifg-agentic | konzept.txt | Text | c752756baa224d6d60d45163791d0125228f784ba4246f183dff2790740a4e61 | 2 | 896 |
erinnert, um Verzögerungen zu vermeiden.
3.5 Nahtlose Integration in bestehende Verwaltungssysteme
"fragdenstaat.gv.at" soll mit bestehenden Systemen wie ELAK kompatibel sein, um
Medienbrüche zu vermeiden und eine reibungslose Bearbeitung von Anfragen innerhalb der
Verwaltung sicherzustellen.
4. Vergleich mit Best Prac... | ifg-agentic | konzept.txt | Text | 9ea5853d54e9eb8953880dc65339b462de8cde6e2a3f7a95398068480ca5b418 | 3 | 896 |
Rollout und Evaluierung
Nach erfolgreichen Tests erfolgt der schrittweise Rollout in der gesamten Verwaltung. Eine
kontinuierliche Evaluierung stellt sicher, dass die Plattform den Anforderungen entspricht und
laufend weiterentwickelt wird.
8. Fazit und Handlungsempfehlungen
8.1 Zusammenfassung der Vorteile
Die Einführ... | ifg-agentic | konzept.txt | Text | 8254c79af80b1f7d8feabee391f149a8d3db39a73aa94aedb0c0b5650ac9525f | 4 | 335 |
import { NextResponse, type NextRequest } from 'next/server';
import { getToken } from 'next-auth/jwt';
import { guestRegex, isDevelopmentEnvironment } from './lib/constants';
export async function middleware(request: NextRequest) {
const { pathname } = request.nextUrl;
/*
* Playwright starts the dev server an... | ifg-agentic | middleware.ts | TypeScript | 212fcc8b2990e5380a880bc852c6cebb37a44d16d9802a0153400ba7874df42e | 0 | 414 |
# 🎉 Migration Complete - piveau hub-repo API
## ✅ All Tools Successfully Migrated!
All AI tools have been completely migrated from the CKAN API to the **piveau hub-repo API** (DCAT-AP compliant).
## 📊 Summary
### Tools Migrated
- **30+ tools** created/rewritten
- **40+ files** changed
- **9 legacy files** deleted... | ifg-agentic | MIGRATION_COMPLETE.md | Markdown | 543e63c0bc4b6048f68d0530219ef2c2c181c4d52e119099988986c237af4e48 | 0 | 896 |
` | `getDatasetDetails()` |
| `/action/organization_list` | `/catalogues` | `listCatalogues()` |
| `/action/organization_show` | `/catalogues/{id}` | `getCatalogue()` |
| `/action/resource_show` | `/distributions/{id}` | `getDistribution()` |
## ✅ Verification
### All Old Imports Removed
```bash
# Verified: No old im... | ifg-agentic | MIGRATION_COMPLETE.md | Markdown | aa2cff4310fc58cf4d299f762ca02d67da0cb526a3b9ef109767401d21ec3834 | 1 | 896 |
Start with QUICKSTART.md
- Reference README.md as needed
- Check MIGRATION.md for detailed changes
4. ✅ **Monitor Performance**
- Check API response times
- Verify data formats
- Test error handling
## 🏆 Success Metrics
- ✅ 100% of tools migrated
- ✅ 100% of old files removed
- ✅ 100% OpenAPI complia... | ifg-agentic | MIGRATION_COMPLETE.md | Markdown | 78d5aa733cbeb0b4e37b92b7284af7b8d697127cfbc49d9fef756880d2ecbbfa | 2 | 458 |
import type { NextConfig } from 'next';
const nextConfig: NextConfig = {
experimental: {
ppr: true,
},
images: {
remotePatterns: [
{
hostname: 'avatar.vercel.sh',
},
{
hostname: 'snyzk9sqnqm7uraj.public.blob.vercel-storage.com'
},
{
hostname: 'vercel.... | ifg-agentic | next.config.ts | TypeScript | ca6d9b7ceac5e245d1254111634e37964a1f6a06f9feb730d4bf655a6c7713f1 | 0 | 82 |
##
/drafts/datasets:
get:
description: This function is reserved for internal use only and is not part of our public API offerings. You must be authorized to retrieve drafts of datasets. As an authorized user, you make a GET request to the specified API endpoint URL with the resource path "/drafts/datasets... | ifg-agentic | openapi_schema.yaml | YAML | a703b383beb98f202512affadb38c0f4254048de5083351f1705dffa3c9fd5ba | 9 | 896 |
the newly provided information. If the ID is new, a new draft will be created.
summary: Create or Update a dataset draft
operationId: createOrUpdateDatasetDraft
tags:
- Drafts
security:
- ApiKeyAuth: [ ]
- BearerAuth: [ ]
parameters:
- name: catalogue
... | ifg-agentic | openapi_schema.yaml | YAML | 1aff8d0b4d3de7ba15d2bd9a1740d6a018e81144abba92c21511e9dc7559b88c | 10 | 896 |
, the response contains the headers of the specified vocabulary.
summary: Head get a vocabulary
operationId: headGetVocabulary
tags:
- Vocabularies
responses:
'200':
description: Headers of get a vocabulary
'404':
description: Not Found
put:
... | ifg-agentic | openapi_schema.yaml | YAML | aad607fe0d78c21ef7dfcfb3bcc638cfdf2474bfbdac026f806d9dbb1c4a264f | 12 | 896 |
404':
description: Dataset not found
'422':
description: Unprocessable Entity, details in the response body.
content:
application/json:
schema:
type: object
/identifiers/datasets/{datasetId}/eligibility:
parameters:
- $ref: '#/c... | ifg-agentic | openapi_schema.yaml | YAML | 8ed58310b6c0fa4496b8715b576ce685ff6a838f8e20a48ada7e0fab0a306f64 | 13 | 896 |
required: true
content:
application/rdf+xml:
schema:
type: string
application/n-triples:
schema:
type: string
application/trig:
schema:
type: string
text/turtle:
schema:
... | ifg-agentic | openapi_schema.yaml | YAML | a0a6069e2784b53fb20eb0880c5fee2f810a6dd5cfb92df1c23b12452a3d27a7 | 14 | 896 |
If your service is behind a proxy, this might not work correctly. Find out more in the documentation: https://doc.piveau.eu/admin-guide/hub-repo-admin-guide/"
schema:
type: boolean
default: false
UsePagedCollection:
name: usePagedCollection
in: query
description: "Set to 'tr... | ifg-agentic | openapi_schema.yaml | YAML | 43a0c6356e1fab3deecc74c043642a820563a46d84793cf789e6eefc40db32d3 | 15 | 532 |
{
"name": "ifg-agentic",
"version": "0.0.1",
"private": true,
"scripts": {
"dev": "next dev --turbo",
"build": "tsx lib/db/migrate && next build",
"start": "next start",
"lint": "next lint && biome lint --write --unsafe",
"lint:fix": "next lint --fix && biome lint --write --unsafe",
"for... | ifg-agentic | package.json | JSON | 3576ac039843c596ef775344a1fe9bc8bb1c0dbc5dde26d1dfc674b618671f8f | 0 | 896 |
import { defineConfig, devices } from '@playwright/test';
/**
* Read environment variables from file.
* https://github.com/motdotla/dotenv
*/
import { config } from 'dotenv';
config({
path: '.env.local',
});
/* Use process.env.PORT by default and fallback to port 3000 */
const PORT = process.env.PORT || 3000;
... | ifg-agentic | playwright.config.ts | TypeScript | 49d0d48e43d48e442343058c42564b71c4c23e14d9d9b5b66da65ae8e667deae | 0 | 771 |
/** @type {import('postcss-load-config').Config} */
const config = {
plugins: {
'@tailwindcss/postcss': {},
},
};
export default config;
| ifg-agentic | postcss.config.mjs | JavaScript | 3aac0d047d7dd505eea362c918e2ddd0436428682c5de5cb18feda70d46aa5cb | 0 | 46 |
<div align="center">
<img src="public/thumbnail.png" alt="IFG Agentic" width="100%" height="100%" style="border-radius: 10px; box-shadow: 0 0 10px 0 rgba(0, 0, 0, 0.1);">
<a name="readme-top"></a>
# IFG Agentic
Entdecke, Analysiere und Visualisiere österreichische Datensätze von **[data.gv.at][datagvat_url]**<br/>–... | ifg-agentic | README.md | Markdown | 4c1bce9500b685abe16460c7828c2ac4367a87b94a13877f5dab79b120057e97 | 0 | 896 |
.shields.io/badge/React-19-61DAFB?style=for-the-badge&logo=react&logoColor=black
[license_badge]: https://img.shields.io/badge/License-MIT-success?style=for-the-badge
[repo_badge]: https://img.shields.io/badge/REPOSITORY-gray?style=for-the-badge
[issues_badge]: https://img.shields.io/badge/ISSUES-red?style=for-the-badg... | ifg-agentic | README.md | Markdown | 1adca9c51553e39dbc916db44ca48b729dc176d9642744f935a23877fdb1dbdf | 1 | 526 |
<div align="center">
<img src="public/thumbnail.png" alt="IFG Agentic" width="100%" height="100%" style="border-radius: 10px; box-shadow: 0 0 10px 0 rgba(0, 0, 0, 0.1);">
<a name="readme-top"></a>
# IFG Agentic
Discover, Analyze and Visualize Austrian datasets from **[data.gv.at][datagvat_url]**<br/>– entirely in y... | ifg-agentic | README_EN.md | Markdown | e0c3419b3961c8d44253ab33f89d02ba743d69c6ea8a8743cc2f77f5a4bf65ce | 0 | 896 |
openapi: 3.0.0
servers:
- url: https://www.data.gv.at/katalog/api/3
info:
description: >
data.gv.at API Documentation
version: 1.0.0
title: data.gv.at API
contact:
email: info@data.gv.at
license:
name: CC BY 4.0
url: https://creativecommons.org/licenses/by/4.0/
tags:
- name: datasets
d... | ifg-agentic | schema.yml | YAML | 833ca4c1f806843d87a635db5f2f1a2da8a81c3e12ea3c4598d5ed85e5241273 | 0 | 896 |
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