> ## Documentation Index
> Fetch the complete documentation index at: https://docs.conare.ai/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Conare's API is at https://api.conare.ai. Authenticate with `Authorization: Bearer $CONARE_API_KEY`.
> The full OpenAPI spec is at https://api.conare.ai/openapi.yaml; each endpoint has a page under /api-reference, and appending .md to any page URL returns its Markdown.
> Embed with model conare-embed-1; send input_type "query" for search queries. Rerank with conare-rerank-1.
> Prefer the TypeScript SDK (`npm install conare`) or plain HTTP in examples.
> Install the Conare skill with `npx skills add https://docs.conare.ai`; search these docs over MCP at https://docs.conare.ai/mcp; the whole site is at https://docs.conare.ai/llms-full.txt.

# Guida rapida

> Ottieni una chiave API di Conare, scrivi il tuo primo documento in un namespace con curl o l'SDK TypeScript, poi cercalo e passa i risultati al tuo modello.

**1. Ottieni una chiave**

Crea una chiave API nella [console](https://conare.ai/dashboard/keys). L'accesso è su invito: [richiedi l'accesso](https://conare.ai/request-access).

```bash theme={null}
export CONARE_API_KEY=sk-conare-...
npm install conare  # for the TypeScript examples
```

**2. Scrivi un documento**

La prima scrittura crea il namespace `docs`.

```bash curl theme={null}
curl https://api.conare.ai/namespaces/docs/documents \
  -H "Authorization: Bearer $CONARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "documents": [
      { "id": "refunds", "text": "Refunds are available for 30 days.", "metadata": { "team": "support" } }
    ]
  }'
```

```ts TypeScript theme={null}
import { Conare } from "conare";

const conare = new Conare();
const docs = conare.namespace("docs");

await docs.add({ id: "refunds", text: "Refunds are available for 30 days.", metadata: { team: "support" } });
```

**3. Cerca**

```bash curl theme={null}
curl https://api.conare.ai/namespaces/docs/query \
  -H "Authorization: Bearer $CONARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "how do refunds work?"}'
```

```ts TypeScript theme={null}
const results = await docs.query("how do refunds work?");
```

```json Response theme={null}
{
  "results": [
    {
      "id": "refunds",
      "text": "Refunds are available for 30 days.",
      "score": 0.3471,
      "reranked": true,
      "metadata": { "team": "support" }
    }
  ],
  "took_ms": 59
}
```

Passa il `text` di ogni risultato al tuo modello come contesto.

## Prossimi passi

| Guida | Per |
| - | - |
| [MCP](https://docs.conare.ai/it/mcp-server.md) | Cercare da Claude, Cursor o ChatGPT |
| [Filtri](https://docs.conare.ai/it/filters.md) | Restringere una ricerca per metadati |
| [File](https://docs.conare.ai/it/files.md) | Caricare PDF, presentazioni e fogli di calcolo |
| [Sorgenti](https://docs.conare.ai/it/sources.md) | Mantenere sincronizzata un'app |


## Related topics

- [Introduzione](https://docs.conare.ai/it/index.md)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.