> ## Documentation Index
> Fetch the complete documentation index at: https://cortex-ad5578da.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Upload Embeddings
> Upload pre-computed embeddings for advanced similarity search.
This endpoint accepts vector embeddings that you’ve generated externally,
allowing you to integrate with custom embedding models or existing vector databases.
The embeddings represent chunks of your content as numerical vectors.
The system stores these embeddings and makes them available for semantic search and similarity matching.
Use this when you want to leverage specialized embedding models or have existing vector representations.
When upsert=True, existing embeddings with the same chunk_id will be updated.
export const TableOfContents = ({title = 'On this page', items, minHeadingLevel = 2, maxHeadingLevel = 3, className = '', activeClassName = 'text-primary dark:text-primary-light border-primary dark:border-primary-light hover:border-primary dark:hover:border-primary-light', inactiveClassName = 'hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300'}) => {
const [toc, setToc] = useState(items ?? []);
const [activeId, setActiveId] = useState('');
useEffect(() => {
if (items && items.length) return;
if (typeof document === 'undefined') return;
const selectors = [];
for (let lvl = minHeadingLevel; lvl <= maxHeadingLevel; lvl++) {
selectors.push(`h${lvl}`);
}
const nodes = Array.from(document.querySelectorAll(selectors.join(','))).filter(el => el.id);
const built = [];
let currentTop = null;
nodes.forEach(el => {
const level = Number(el.tagName.slice(1));
const node = {
id: el.id,
label: el.textContent.trim(),
href: `#${el.id}`,
children: []
};
if (level === minHeadingLevel) {
built.push(node);
currentTop = node;
} else if (level > minHeadingLevel && currentTop) {
currentTop.children.push(node);
} else {
built.push(node);
}
});
setToc(built);
}, [items, minHeadingLevel, maxHeadingLevel]);
useEffect(() => {
if (typeof document === 'undefined') return;
const applyHash = () => {
const h = window.location.hash.replace('#', '');
if (h) setActiveId(h);
};
applyHash();
const observer = new IntersectionObserver(entries => {
entries.forEach(entry => {
if (entry.isIntersecting) {
setActiveId(entry.target.id);
}
});
}, {
rootMargin: '0px 0px -70% 0px',
threshold: 0.1
});
const ids = toc.flatMap(i => [i, ...i.children ?? []]).map(i => i.id);
ids.forEach(id => {
const el = document.getElementById(id);
if (el) observer.observe(el);
});
window.addEventListener('hashchange', applyHash);
return () => {
window.removeEventListener('hashchange', applyHash);
observer.disconnect();
};
}, [toc]);
const Item = ({node, depth = 0}) => {
const isActive = activeId === node.id;
return
0 ? {
marginLeft: `${depth}rem`
} : {}} onClick={() => setActiveId(node.id)}>
{node.label}
{node.children && node.children.length > 0 && <>
{node.children.map(child =>