RAG Engine Uptime Monitor
Connect External Data to AI Apps Effortlessly
Last 30 Days Performance
Average Uptime
5.33%
Based on 30-day monitoring period
Average Response Time
18.23ms
Mean response time across all checks
Daily Status Overview
Hover for detailsHistorical Performance
Dec-2025
0% uptime
Monthly Uptime
0%
Monthly Response Time
0ms
Daily Status Breakdown
Nov-2025
0% uptime
Monthly Uptime
0%
Monthly Response Time
0ms
Daily Status Breakdown
Oct-2025
47.67% uptime
Monthly Uptime
47.67%
Monthly Response Time
50ms
Daily Status Breakdown
Sep-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
108ms
Daily Status Breakdown
Aug-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
106ms
Daily Status Breakdown
Jul-2025
99.72% uptime
Monthly Uptime
99.72%
Monthly Response Time
101ms
Daily Status Breakdown
Jun-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
102ms
Daily Status Breakdown
May-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
105ms
Daily Status Breakdown
Apr-2025
100% uptime
Monthly Uptime
100%
Monthly Response Time
147ms
Daily Status Breakdown
Related Uptime Monitors
Explore uptime status for similar tools that also have monitoring enabled.
-
OperationalRagie
RAG-as-a-Service for developers. Fully managed, fully connected.
Ragie is a fully managed RAG-as-a-Service platform that helps developers build AI applications with seamless data integration, automatic syncing, and advanced retrieval features.
Last checked: 2 hours ago View Status -
OperationalVectorize
Build RAG Applications 10X Faster
Vectorize is a RAG-as-a-Service platform designed to accelerate AI application development by simplifying the process of connecting unstructured data to Large Language Models (LLMs). It automatically extracts and optimizes data from various sources for efficient vector search.
Last checked: 2 hours ago View Status -
OperationalRAGBuilder
Build Optimized RAG Systems in Minutes, Not Months.
RAGBuilder is a platform designed to simplify the creation, optimization, and deployment of Retrieval-Augmented Generation (RAG) systems, significantly reducing development time and costs without requiring deep AI expertise.
Last checked: 3 hours ago View Status -
Operationalragbuilder.io
Build Optimized RAG Systems in Minutes, Not Months.
RAGBuilder is a platform designed to eliminate the complexity of building and managing Retrieval-Augmented Generation (RAG) solutions, handling data ingestion, optimization, and deployment automatically.
Last checked: 3 hours ago View Status -
OperationalLlamaHub
Kickstart Your RAG Application with Data Loaders and Agent Tools
LlamaHub is a repository providing data loaders, agent tools, and LlamaPacks to quickly build and customize Retrieval-Augmented Generation (RAG) applications using frameworks like LlamaIndex and LangChain.
Last checked: 13 hours ago View Status -
IssuesSupametas.AI
Process any unstructured data into structured data for LLM RAG.
Supametas.AI is a low-code/code-free platform designed for enterprises to process unstructured data from various sources into structured formats suitable for Large Language Model (LLM) Retrieval-Augmented Generation (RAG) knowledge bases.
Last checked: 2 hours ago View Status