Vision-specific

Detection, OCR, segmentation, video understanding, captioning.

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DaedArch · models registry · Models hub · Connectors · Tools catalog · live from models_gold + model_taxonomy. Naming standard: collection_naming_v1.

';console.error(e);}); // ── Semantic search wiring ── (function(){ var qIn = document.getElementById('q'); if(!qIn) return; var resultsHost = document.createElement('section'); resultsHost.id = 'semantic-results'; resultsHost.style.cssText = 'padding:0 0 24px;border-bottom:1px solid var(--border);margin-bottom:18px;display:none'; var headEl = document.createElement('div'); headEl.className = 'head'; headEl.style.cssText = 'display:flex;align-items:baseline;gap:10px;margin-bottom:10px'; var h2 = document.createElement('h2'); h2.style.cssText = 'font-size:18px;margin:0;font-weight:500;color:#fff'; h2.appendChild(document.createTextNode('Semantic matches')); var meta = document.createElement('span'); meta.style.cssText='color:var(--muted);font-size:12px;margin-left:8px'; meta.id = 'semantic-meta'; h2.appendChild(meta); headEl.appendChild(h2); resultsHost.appendChild(headEl); var resGrid = document.createElement('div'); resGrid.className='grid'; resGrid.id='semantic-grid'; resultsHost.appendChild(resGrid); var hostMain = document.querySelector('main.main') || document.getElementById('hierarchy').parentNode; hostMain.insertBefore(resultsHost, document.getElementById('hierarchy')); var timer = null, lastQuery = '', inflight = null; function runSemantic(){ var q = qIn.value.trim(); if (q.length < 3){ resultsHost.style.display='none'; return; } if (q === lastQuery) return; lastQuery = q; meta.textContent = 'searching…'; resultsHost.style.display='block'; if (inflight) inflight.abort(); var ctrl = new AbortController(); inflight = ctrl; var body = JSON.stringify(Object.assign({query:q, limit:12}, TOP_TYPE?{top_type:TOP_TYPE}:{})); fetch('https://api.daedarch.ai/api/v4/t/public_models_search',{method:'POST',headers:{'Content-Type':'application/json'},body:body, signal:ctrl.signal}) .then(function(r){return r.json();}) .then(function(d){ inflight = null; var rows = (d && d.results) || []; resGrid.innerHTML = ''; if (!rows.length){ meta.textContent = 'no semantic matches · falling back to text filter'; resultsHost.style.display='none'; return; } rows.forEach(function(c){ var card = document.createElement('div'); card.className = 'card'; card.style.position='relative'; var h3 = document.createElement('h3'); h3.textContent = c.display_name || c.name || c.model_id; card.appendChild(h3); if(c.provider){var p=document.createElement('div');p.className='provider';p.textContent=c.provider;card.appendChild(p);} if(c.description){var pp=document.createElement('p');pp.textContent=c.description;card.appendChild(pp);} if(c.capabilities && c.capabilities.length){ var caps = document.createElement('div'); caps.className='caps'; c.capabilities.slice(0,5).forEach(function(x){var sp=document.createElement('span');sp.textContent=x;caps.appendChild(sp);}); card.appendChild(caps); } var foot = document.createElement('div'); foot.className='meta'; var left = document.createElement('span'); var st = document.createElement('span'); st.className='badge ' + (c.status||'discovered'); st.textContent = (c.status||'discovered'); left.appendChild(st); if(c.vault_bound){var v=document.createElement('span');v.className='badge vault';v.textContent='Vault';left.appendChild(v);} foot.appendChild(left); var rt = document.createElement('span'); rt.className='coverage'; rt.textContent = '· score ' + (c._score!=null?c._score.toFixed(3):'') + ' · ' + (c.type||'') + (c.subcategory?' / '+c.subcategory:''); foot.appendChild(rt); card.appendChild(foot); resGrid.appendChild(card); }); meta.textContent = rows.length + ' results · powered by milvus + nomic-embed'; }) .catch(function(e){ if(e.name === 'AbortError') return; meta.textContent = 'semantic search unavailable'; resultsHost.style.display='none'; }); } qIn.addEventListener('input', function(){ if (timer) clearTimeout(timer); timer = setTimeout(runSemantic, 280); }); })(); })();