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

# Performance & Limits

> How to think about latency, throughput, and limits in Synap. Specific numbers come from your own measurements in Dashboard → Usage.

Synap publishes very few hard numbers. The two below are the ones the SDK actually enforces. Everything else (latency, throughput, rate-limit ceilings) depends on your Instance, your use-case, and your workload, and is best read off the Dashboard as you run.

## SDK timeouts

The SDK ships with two default timeouts, one per retrieval mode:

| Mode       | Default timeout |
| ---------- | --------------- |
| `fast`     | `8000` ms       |
| `accurate` | `30000` ms      |

Both are configurable per call via `SDKConfig.timeouts`.

## Retrieval modes

`sdk.conversation.context.fetch()` accepts `mode="fast"` (default) or `mode="accurate"`.

* **`fast`**: lower-latency path. Queries the vector store and the graph store.
* **`accurate`**: higher-quality path. Queries the vector store and the graph store, and additionally runs LLM subquery decomposition and reranking on the candidate set.

Both modes pull from the same underlying memory; `accurate` simply spends more compute to widen and re-order the result set.

## Where to see live numbers

Per-Instance latency, request volume, and rate-limit headroom are visible in **Dashboard → Usage**. Use that view for capacity planning rather than any number quoted in docs. Your workload is the source of truth.

Document/message size and rate ceilings are likewise per-Instance rather than fixed platform constants, and are read off the same **Dashboard → Usage** view. If you need a ceiling raised, contact **[support@maximem.ai](mailto:support@maximem.ai)**.

## Behavior under load

* The SDK auto-retries transient errors (rate limits, service-unavailable) using `RetryPolicy` with exponential backoff. You generally don't need to wrap calls in your own retry loop.
* When retries are exhausted on a rate-limited call, the SDK raises `RateLimitError`. Catch it to fall back gracefully or surface a user-visible error.
* If you consistently hit `RateLimitError` for an Instance, your per-Instance ceiling is tuneable. Contact **[support@maximem.ai](mailto:support@maximem.ai)**.

## Status and monitoring

* **Status page**: [synap.maximem.ai/status](https://synap.maximem.ai/status)
* **Per-Instance metrics**: Dashboard → Usage