Do I need to know SQL or PromQL to use the AI Assistant?

No. The assistant is designed specifically to remove that requirement. You ask in plain English and it generates the correct query, so anyone on your team can work with observability data, not just engineers.

What kind of questions can I ask the AI Assistant?

Ask about error rates, latency, top endpoints, log patterns, deployment changes, field structures, and more. You can also ask it to build dashboards or configure alerts, all from a single natural language prompt.

How does the assistant know about my data schema and streams?

The assistant uses context from your OpenObserve environment, including available streams, field names, and existing dashboards, to generate accurate, schema-aware queries and suggestions rather than generic outputs.

Can non-technical users use the AI Assistant effectively?

Yes. It's designed for exactly that use case. Product managers, business analysts, and team leads can ask questions about service performance, error trends, and user-facing metrics without depending on an engineer to write queries for them.

Does the AI Assistant generate alerts as well as queries?

Yes. Describe your alert condition in plain language and the assistant generates both the SQL query and the alert threshold configuration, ready to activate in OpenObserve without any manual adjustment.

Is the AI Assistant available if I am using self-hosted OpenObserve?

Yes, OpenObserve AI assistant is available in self-hosted OpenObserve enterprise version (Free to use if you are ingesting under 200 GB/Day).

Preview

AI Assistant. Ask in Plain English.

No SQL required. Answers in seconds.

Explore observability data, build dashboards, and set alerts in plain English, no SQL required.

Talk to a Human

No SQL Required

Ask a question in plain English, get a ready-to-run query.

Root Cause in One Prompt

Summarize errors and surface patterns without scanning logs by hand.

Dashboards From a Sentence

Describe what you want to see, get panels generated in seconds.

AI-Powered Analysis

Get Answers Without Writing a Query

Natural Language Queries

Conversational SQL from Any Question
Type a question and the assistant generates the correct OpenObserve SQL query, ready to run, no editing required.
Instant Data Context
Ask the assistant about an anomaly and it surfaces key fields, patterns, and top values instantly.

Intelligent Log Investigation

Log Summarization & Pattern Detection
Ask for a summary of top errors and get a structured breakdown highlighting recurring patterns, spikes, and anomalies.
Deployment-Aware Change Analysis
Ask what changed in the last deployment and the assistant compares log behavior across time windows to surface regressions.

Automated Dashboard Generation

AI-Generated Dashboards
Describe what you want and the assistant recommends the right panels and generates the dashboard in seconds.
SLO & Burn Rate Dashboard Creation
Generate SLO-specific views instantly, the assistant handles queries, burn rate calculations, and error budget panels.

Automated Alert Creation

Natural Language Alert Configuration
Describe the alert condition you want and the assistant takes it from there.
Trace & Log Schema Alerts
Explore unfamiliar data structures and build alerts against them without prior knowledge.

Benchmarks

Measured against the platforms you are already paying for

Same telemetry, same workloads, one platform. Every number is OpenObserve against a named vendor - not an industry average.

vs. Datadog
8×
more cost-effective
8x cost reduction means you can unify your observability into a single platform.
Read case study
vs. Elastic
140×
storage efficiency
140x storage means longer retention doesn't necessarily mean expensive bills.
Read case study
vs. Dynatrace
10×
faster performance
10x performance means dashboards and queries load in milliseconds, not minutes.
Read case study
vs. New Relic
30×
compute efficiency
30x compute efficiency means you index everything and don't have to compromise on sampling.
Read case study

See how much you would save switching today.

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Testimonials

Teams trust OpenObserve to answer their toughest questions

Correlate between the environments and signals across various sources with OpenObserve built-in correlation engine.

“[OpenObserve is] super fast, definitely very lightweight, and you can get started with an initial POC in two to three minutes to be honest.”

2–3 min

To first POC

Lightweight

Minimal footprint

AI vision

Retail analytics platform

AI Assistant FAQs

: No. The assistant is designed specifically to remove that requirement. You ask in plain English and it generates the correct query, so anyone on your team can work with observability data, not just engineers.
: Ask about error rates, latency, top endpoints, log patterns, deployment changes, field structures, and more. You can also ask it to build dashboards or configure alerts, all from a single natural language prompt.
: The assistant uses context from your OpenObserve environment, including available streams, field names, and existing dashboards, to generate accurate, schema-aware queries and suggestions rather than generic outputs.
: Yes. It's designed for exactly that use case. Product managers, business analysts, and team leads can ask questions about service performance, error trends, and user-facing metrics without depending on an engineer to write queries for them.
: Yes. Describe your alert condition in plain language and the assistant generates both the SQL query and the alert threshold configuration, ready to activate in OpenObserve without any manual adjustment.
: Yes, OpenObserve AI assistant is available in self-hosted OpenObserve enterprise version (Free to use if you are ingesting under 200 GB/Day).

Resources

Explore guides, videos, and articles

to help you get the most out of the AI Assistant.

VIDEO

Integration with AI Tools

BLOG

AI-Assisted Monitoring via MCP

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