YOUR-OWN-AI-/index.html at main · bugsnbytes4/YOUR-OWN-AI- · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>VectorDB — HNSW / KD-Tree / Brute Force</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;600;700&family=Space+Grotesk:wght@500;600;700&display=swap" rel="stylesheet">
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  .card{background:var(--panel); border:1px solid var(--border); border-radius:10px; padding:18px;}
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  .legend{display:flex; gap:14px; margin-top:10px; flex-wrap:wrap; font-size:11px; color:var(--dim);}
  .legend span{display:inline-flex; align-items:center; gap:5px;}
  .dot{width:8px;height:8px;border-radius:50%;display:inline-block;}
  .result{
    display:flex; justify-content:space-between; align-items:center; padding:9px 10px;
    border-bottom:1px solid var(--border); font-size:13px;
  }
  .result:last-child{border-bottom:none;}
  .result .lab{font-weight:600;}
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  .bench-row{display:flex; align-items:center; gap:10px; margin-bottom:8px;}
  .bench-row .name{width:90px; font-size:12px; color:var(--dim);}
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  .bench-row .ms{width:70px; text-align:right; font-size:12px; color:var(--dim);}
  #doc-list .result{cursor:default;}
  .chip{
    display:inline-block; background:var(--panel-2); border:1px solid var(--border); color:var(--dim);
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    white-space:pre-wrap; line-height:1.55; background:var(--panel-2); border-radius:8px; padding:14px;
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  .hnsw-stats .lab{font-size:11px; color:var(--dim); text-transform:uppercase; margin-top:2px;}
</style>
</head>
<body>

<header>
  <h1>Vector<span>DB</span> <span style="font-size:12px; color:var(--dim); font-weight:400;">— HNSW · KD-Tree · Brute Force</span></h1>
  <div id="status-line"><span id="status-dot"></span><span id="status-text">checking ollama…</span></div>
</header>

<main>
  <div class="tabs">
    <div class="tab active" data-tab="search">Search (Demo Vectors)</div>
    <div class="tab" data-tab="docs">Documents</div>
    <div class="tab" data-tab="ask">Ask AI (RAG)</div>
  </div>

  <!-- TAB 1: SEARCH -->
  <div class="panel active" id="panel-search">
    <div class="grid">
      <div class="card">
        <h2>Query</h2>
        <label>Concept</label>
        <input id="q-concept" placeholder="binary tree, sushi, basketball, calculus…" />
        <div class="row">
          <div>
            <label>Algorithm</label>
            <select id="q-algo">
              <option value="hnsw">HNSW</option>
              <option value="kdtree">KD-Tree</option>
              <option value="bruteforce">Brute Force</option>
            </select>
          </div>
          <div>
            <label>Metric</label>
            <select id="q-metric">
              <option value="cosine">Cosine</option>
              <option value="euclidean">Euclidean</option>
              <option value="manhattan">Manhattan</option>
            </select>
          </div>
          <div>
            <label>K</label>
            <input id="q-k" type="number" value="5" min="1" max="20" />
          </div>
        </div>
        <div class="row">
          <button onclick="doSearch()">⚡ Search</button>
          <button class="secondary" onclick="doBenchmark()">▶ Compare All Algos</button>
        </div>
        <div id="results" style="margin-top:14px;"></div>
        <div id="bench" style="margin-top:14px;"></div>
      </div>

      <div class="card">
        <h2>Semantic Space (PCA, 2D)</h2>
        <svg id="scatter" viewBox="0 0 400 320"></svg>
        <div class="legend">
          <span><i class="dot" style="background:var(--cs)"></i>CS</span>
          <span><i class="dot" style="background:var(--math)"></i>Math</span>
          <span><i class="dot" style="background:var(--food)"></i>Food</span>
          <span><i class="dot" style="background:var(--sports)"></i>Sports</span>
        </div>
        <p class="muted" style="margin-top:10px;">Each point is one of the 20 demo vectors, projected from 16D to 2D. Matching results glow when you search.</p>
        <h2 style="margin-top:18px;">HNSW Graph Stats</h2>
        <div class="hnsw-stats" id="hnsw-stats"></div>
      </div>
    </div>
  </div>

  <!-- TAB 2: DOCUMENTS -->
  <div class="panel" id="panel-docs">
    <div class="grid">
      <div class="card">
        <h2>Embed a Document</h2>
        <p class="muted" style="margin-top:-8px;">Uses Ollama (<code>nomic-embed-text</code>) to generate real 768-dimensional embeddings. Long text is auto-chunked into overlapping 250-word pieces.</p>
        <label>Title</label>
        <input id="doc-title" placeholder="Operating Systems Notes" />
        <label>Text</label>
        <textarea id="doc-text" placeholder="Paste lecture notes, textbook paragraphs, articles…"></textarea>
        <button onclick="doEmbed()" id="embed-btn">⚡ Embed &amp; Insert</button>
        <p id="doc-msg" class="muted" style="margin-top:8px;"></p>
      </div>
      <div class="card">
        <h2>Stored Chunks</h2>
        <div id="doc-list"></div>
      </div>
    </div>
  </div>

  <!-- TAB 3: ASK AI -->
  <div class="panel" id="panel-ask">
    <div class="card" style="max-width:760px; margin:0 auto;">
      <h2>Ask a Question About Your Documents</h2>
      <p class="muted" style="margin-top:-8px;">Retrieval-augmented generation: HNSW finds the 3 most relevant chunks, then <code>llama3.2</code> answers using only that context.</p>
      <input id="ask-q" placeholder="What is dynamic programming?" />
      <button onclick="doAsk()" id="ask-btn">🤖 Ask AI</button>
      <h2 style="margin-top:20px;">Answer</h2>
      <div id="answer">Ask something above once you've embedded a document.</div>
      <div id="context-chips"></div>
      <div id="chunk-detail"></div>
    </div>
  </div>
</main>

<script>
const CAT_COLOR = {CS:'var(--cs)', Math:'var(--math)', Food:'var(--food)', Sports:'var(--sports)'};
const CAT_COLOR_HEX = {CS:'#5eead4', Math:'#f0b429', Food:'#fb7185', Sports:'#818cf8'};
let itemsCache = [];

// ---------- Tabs ----------
document.querySelectorAll('.tab').forEach(t => {
  t.addEventListener('click', () => {
    document.querySelectorAll('.tab').forEach(x=>x.classList.remove('active'));
    document.querySelectorAll('.panel').forEach(x=>x.classList.remove('active'));
    t.classList.add('active');
    document.getElementById('panel-'+t.dataset.tab).classList.add('active');
  });
});

// ---------- Status ----------
async function refreshStatus(){
  try{
    const r = await fetch('/status');
    const s = await r.json();
    const dot = document.getElementById('status-dot');
    const txt = document.getElementById('status-text');
    if(s.ollama_online){
      dot.className='on'; txt.textContent = `ollama online · ${s.embed_model} / ${s.gen_model}`;
    } else {
      dot.className='off'; txt.textContent = 'ollama offline — run `ollama serve`';
    }
  }catch(e){
    document.getElementById('status-text').textContent = 'server unreachable';
  }
}

// ---------- Scatter plot ----------
async function loadItems(){
  const r = await fetch('/items');
  itemsCache = await r.json();
  drawScatter();
}
function drawScatter(highlightIds){
  const svg = document.getElementById('scatter');
  const W=400,H=320,pad=30;
  const xs = itemsCache.map(i=>i.x), ys = itemsCache.map(i=>i.y);
  const minX=Math.min(...xs), maxX=Math.max(...xs), minY=Math.min(...ys), maxY=Math.max(...ys);
  const sx = v => pad + (v-minX)/(maxX-minX||1) * (W-2*pad);
  const sy = v => H-pad - (v-minY)/(maxY-minY||1) * (H-2*pad);
  let html = '';
  itemsCache.forEach(it=>{
    const hl = highlightIds && highlightIds.includes(it.id);
    const color = CAT_COLOR_HEX[it.category] || '#888';
    html += `<circle cx="${sx(it.x).toFixed(1)}" cy="${sy(it.y).toFixed(1)}" r="${hl?7:4.5}"
      fill="${color}" fill-opacity="${hl?1:0.75}" stroke="${hl?'#fff':'none'}" stroke-width="${hl?2:0}">
      <title>${it.label} (${it.category})</title></circle>`;
  });
  svg.innerHTML = html;
}

// ---------- HNSW stats ----------
async function loadHnswInfo(){
  const r = await fetch('/hnsw-info');
  const info = await r.json();
  document.getElementById('hnsw-stats').innerHTML = `
    <div><div class="num">${info.num_nodes}</div><div class="lab">Nodes</div></div>
    <div><div class="num">${info.max_level}</div><div class="lab">Max Layer</div></div>
    <div><div class="num">${info.M}</div><div class="lab">M (edges)</div></div>
  `;
}

// ---------- Search ----------
async function doSearch(){
  const concept = document.getElementById('q-concept').value.trim();
  if(!concept){ alert('Type a concept, e.g. "binary tree"'); return; }
  const algo = document.getElementById('q-algo').value;
  const metric = document.getElementById('q-metric').value;
  const k = document.getElementById('q-k').value;
  const params = new URLSearchParams({q_label: concept, k, metric, algo});
  const r = await fetch('/search_by_label?' + params.toString());
  if(!r.ok){
    document.getElementById('results').innerHTML = `<p class="muted">No demo item matches "${concept}". Try one of: binary tree, sushi, basketball, calculus…</p>`;
    return;
  }
  const data = await r.json();
  renderResults(data.results, data.time_ms);
  drawScatter(data.results.map(x=>x.id));
}
function renderResults(results, ms){
  let html = results.map(r => `
    <div class="result">
      <div><span class="lab">${r.label}</span><span class="cat">${r.category}</span></div>
      <div class="dist">${r.distance.toFixed(4)}</div>
    </div>`).join('');
  html += `<p class="muted" style="margin-top:8px;">${results.length} results in ${ms.toFixed(3)} ms</p>`;
  document.getElementById('results').innerHTML = html;
}

async function doBenchmark(){
  const concept = document.getElementById('q-concept').value.trim();
  if(!concept){ alert('Type a concept, e.g. "binary tree"'); return; }
  const metric = document.getElementById('q-metric').value;
  const k = document.getElementById('q-k').value;
  const params = new URLSearchParams({q_label: concept, k, metric});
  const r = await fetch('/benchmark_by_label?' + params.toString());
  if(!r.ok){ document.getElementById('bench').innerHTML = `<p class="muted">No demo item matches "${concept}".</p>`; return; }
  const data = await r.json();
  const maxMs = Math.max(...Object.values(data).map(v=>v.time_ms), 0.001);
  let html = '<h2 style="margin-top:14px;">Benchmark</h2>';
  for(const algo of ['bruteforce','kdtree','hnsw']){
    const v = data[algo];
    const pct = (v.time_ms/maxMs*100).toFixed(1);
    html += `<div class="bench-row">
      <div class="name">${algo}</div>
      <div class="bench-bar-track"><div class="bench-bar" style="width:${pct}%"></div></div>
      <div class="ms">${v.time_ms.toFixed(3)} ms</div>
    </div>`;
  }
  document.getElementById('bench').innerHTML = html;
}

// ---------- Documents ----------
async function doEmbed(){
  const title = document.getElementById('doc-title').value.trim() || 'untitled';
  const text = document.getElementById('doc-text').value.trim();
  if(!text){ alert('Paste some text first'); return; }
  const btn = document.getElementById('embed-btn');
  btn.disabled = true; btn.textContent = 'Embedding…';
  document.getElementById('doc-msg').textContent = '';
  try{
    const r = await fetch('/doc/insert', {method:'POST', headers:{'Content-Type':'application/json'},
      body: JSON.stringify({title, text})});
    const data = await r.json();
    if(!r.ok) throw new Error(data.error || 'failed');
    document.getElementById('doc-msg').textContent = `Inserted ${data.num_chunks} chunk(s).`;
    document.getElementById('doc-text').value = '';
    loadDocList();
  }catch(e){
    document.getElementById('doc-msg').textContent = 'Error: ' + e.message + ' (is Ollama running?)';
  }finally{
    btn.disabled = false; btn.textContent = '⚡ Embed & Insert';
  }
}
async function loadDocList(){
  const r = await fetch('/doc/list');
  const docs = await r.json();
  if(docs.length === 0){
    document.getElementById('doc-list').innerHTML = '<p class="muted">No documents yet. Embed one on the left.</p>';
    return;
  }
  document.getElementById('doc-list').innerHTML = docs.map(d => `
    <div class="result">
      <div><span class="lab">${d.title}</span><span class="cat">${d.text.split(' ').length} words</span></div>
      <button class="secondary" style="padding:4px 8px; font-size:11px;" onclick="deleteChunk('${d.id}')">delete</button>
    </div>`).join('');
}
async function deleteChunk(id){
  await fetch('/doc/delete/' + id, {method:'DELETE'});
  loadDocList();
}

// ---------- Ask AI ----------
async function doAsk(){
  const question = document.getElementById('ask-q').value.trim();
  if(!question){ return; }
  const btn = document.getElementById('ask-btn');
  btn.disabled = true; btn.textContent = 'Thinking…';
  document.getElementById('answer').textContent = '…';
  document.getElementById('context-chips').innerHTML = '';
  document.getElementById('chunk-detail').style.display = 'none';
  try{
    const r = await fetch('/doc/ask', {method:'POST', headers:{'Content-Type':'application/json'},
      body: JSON.stringify({question, k:3})});
    const data = await r.json();
    if(!r.ok) throw new Error(data.error || 'failed');
    document.getElementById('answer').textContent = data.answer;
    document.getElementById('context-chips').innerHTML = data.context.map((c,i)=>
      `<span class="chip" onclick="showChunk(${i})">${c.title} · chunk ${i+1}</span>`).join('');
    window._lastContext = data.context;
  }catch(e){
    document.getElementById('answer').textContent = 'Error: ' + e.message + ' (is Ollama running with llama3.2 pulled?)';
  }finally{
    btn.disabled = false; btn.textContent = '🤖 Ask AI';
  }
}
function showChunk(i){
  const c = window._lastContext[i];
  const el = document.getElementById('chunk-detail');
  el.style.display = 'block';
  el.textContent = `[distance ${c.distance.toFixed(4)}] ${c.text}`;
}

// ---------- Init ----------
refreshStatus();
loadItems();
loadHnswInfo();
loadDocList();
setInterval(refreshStatus, 15000);
</script>
</body>
</html>