帮助您轻松构建 AI 智能体

基于 LLM 大模型的 AI 智能体应用开发平台。提供了开箱即用的 AI 智能体和可视化开发工具，轻松进行数据处理、模型调用、检索增强生成（RAG）工作流编排等，在您的企业服务中集成生成式人工智能，释放您的全部业务潜能。

AI BaaS 云服务即将开放¥200 免费额度

Interactive Console

Interactive console to import data (drag and drop) and start querying right away.

Check our Web Console documentation to get started.

Artistic view of QuestDB's Web Console split in 3 components: the navigation tree, the SQL code editor and data displayed as a chart

领先的 LLMs 应用开发平台

提供生成式 AI 应用的构建和运营支持
融合 Backend as Service 和 LLMOps
具有模型中立性，支持自定义模型部署
支持多模态数据处理、多语言模型和智能问答系统
提供私有化部署和云服务

应用场景

数据平台：数据清洗、预处理、分析与报告生成
智能问答：企业知识库集成、客户服务自动化
流程自动化：数据驱动决策支持和流程优化
多模态处理：文本、图像和多语言数据处理

愿景、使命与价值观

愿景：AI Build Next Development
使命：让 AI 为每个人创造普惠价值
价值观：实用、开放合作、知识驱动

See live demo

Query three large datasets and more than 2 billion rows in milliseconds with SQL

Try QuestDB demo in your browser

Load results >

支持所有主流的大模型

DeepSeek 通义千问智普 AI 月之暗面火山引擎 AI OpenAI Ollama Anthropic Gemini HuggingFace Jina NVIDIA

Augmented SQL for time series

QuestDB enhances ANSI SQL with time series extensions to manipulate time stamped data

SELECT timestamp, tempC
FROM sensors
WHERE timestamp IN '2021-05-14;1M';

-- Search time
SELECT timestamp, tempC
FROM sensors
WHERE timestamp IN '2021-05-14;1M';

SELECT timestamp, avg(tempC)
FROM sensors
SAMPLE BY 5m;

-- Slice time
SELECT timestamp, avg(tempC)
FROM sensors
SAMPLE BY 5m;

SELECT timestamp, sensorName, tempC
FROM sensors
LATEST ON timestamp PARTITION BY sensorName;

-- Navigate time
SELECT timestamp, sensorName, tempC
FROM sensors
LATEST ON timestamp PARTITION BY sensorName;

SELECT sensors.timestamp ts, rain1H
FROM sensors
ASOF JOIN weather;

-- Merge time
SELECT sensors.timestamp ts, rain1H
FROM sensors
ASOF JOIN weather;

Search Time

Filter and search for specific timestamps with “WHERE”

Slice Time

Create time buckets and aggregate by intervals with “SAMPLE BY”

Navigate Time

Search time series from most recent values to oldest with “LATEST ON”

Merge Time

Join two tables based on timestamp where timestamps do not exactly match with “ASOF JOIN”

Why time series?

DevOps, monitoring and observability

Collect CPU, memory and storage metrics from your infrastructure and get real-time visibility into your entire stack.

Financial market data

Store market tick data to identify historical trends, find correlations and analyze trades in real-time. Build aggregated views across multiple venues and efficiently compute live order books.

Network traffic analysis

Collects Flow or other network traffic metadata to run analytics and detect anomalies in real-time.

Connected devices

Capture, store and respond to sensor data and telemetry at any resolution in industrial or machine-to-machine applications.

Application metrics

Empower application developers and UX teams to track and visualize user behavior data, API calls, data latency, and other application events in real-time.

Machine learning with time-series data

Use QuestDB with popular Python frameworks and tools for leveraging anomaly detection algorithms, machine learning libraries, statistical analysis with Pandas, or Jupyter notebooks.

Join our developer community

QuestDB is open source. Follow us on Twitter, star our GitHub repo, and join our developer community on Slack!

Go to GitHub >Join Slack >

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