DownForAI

Faiss status: API, auth, latency & outage reports

Faiss is operational right now. DownForAI checks Faiss every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.

Operational
Last probe 2h ago·1 surface
Probe-monitoredLow confidence
📚 Docs →
100.0%
24h Uptime
208ms
p50 Network Latency
418ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors Faiss via a single endpoint — Faiss. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 208 ms; p95: 418 ms.

No incidents have been logged for Faiss, and no community reports were received in the last 24 hours. Probes run continuously across the configured surfaces.

Data confidence: LowLast checked 2h 12m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 235ms
Verified 2h ago
No major incident reported
No reports in the last 24h

Having issues?

Help other users by reporting if Faiss is not working for you.

0reports in the last 24 hours

Surface Health

FaissOperational
HTTP 200p50 208ms2h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

Loading…

What DownForAI can verify about Faiss

No confirmed provider-side issue detected
DownForAI currently sees Faiss as operational based on available monitoring signals.
Signal source: public surface check · Monitoring confidence: Low
Still having trouble?

The issue may be account-specific, regional, network-related, or related to authentication, billing, quota, or rate limits.

Incident history (30d)

No incidents recorded in the past 30 days.

Reported symptoms

No user reports for Faiss in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Faiss is Meta's open-source library for similarity search over dense vectors, used in-process from Python or C++. It is a library, not a service: nothing hosted can go down, and failures are memory, index configuration or build issues.

What we monitor
faiss.aiProject site
Your applicationWhere the index lives
Operator notes
  • DownForAI probes faiss.ai, an informational page.

Fallback alternatives

What to use if this service is down

You need a managed vector store instead
Pinecone, Qdrant or LanceDB (monitored on DownForAI) offer hosted or embedded vector search
Moderate effort

How we monitor

DownForAI checks monitored AI service surfaces on a rotating schedule, roughly every 75 minutes per surface, from a single centralized probe infrastructure. For services with an official machine-readable status page, we use that official status signal when available. For other services, we perform a basic public-surface check. Some services block datacenter probes; in those cases we mark them as “Monitoring limited” instead of treating a failed probe as a confirmed outage. Status is classified as Operational, Degraded, or Outage. Network latency (check response time) measures how long the monitored endpoint took to respond to our probe — it is not model inference speed, time-to-first-token, or tokens-per-second performance. We are independent of all providers listed and receive no compensation to report any particular status.

Faiss statusEmbed this status badgeREADME · docs ▾
Markdown
[![Faiss status](https://downforai.com/api/badge/faiss.svg)](https://downforai.com/faiss)
HTML
<a href="https://downforai.com/faiss"><img src="https://downforai.com/api/badge/faiss.svg" alt="Faiss status" /></a>

Community Discussion

0/1000
No comments yet. Be the first to share your experience!

Still having issues with Faiss?

Let the community know and help others experiencing the same problem.