How to Query the Wiki
Asking questions against the wiki. The agent reads the index, finds relevant pages, and synthesizes an answer — then offers to file it back as a new page.
How to Trigger
Just ask a question naturally:
What is the difference between Elastic Agent and Beats?
What does Fleet do?
How does Elasticsearch handle large datasets?
Summarize everything I know about the Elastic Stack.
What Happens
- Agent reads
index.mdto find relevant pages - Agent reads those pages fully
- Agent synthesizes an answer with citations to wiki pages
- Agent asks: “Should I save this as a wiki page?”
- If yes — saved to the appropriate folder,
index.mdupdated, logged
Example Session
You: What is the difference between Elastic Agent and Logstash?
Agent: Based on wiki/elastic/entities/elastic-agent.md and
wiki/elastic/entities/logstash.md:
Elastic Agent is for simple, unified data collection — logs,
metrics, security data — from a host. One agent per host,
managed centrally via Fleet in Kibana.
Logstash is for complex ETL pipelines where data needs
significant transformation before reaching Elasticsearch.
Use Logstash when you need to join streams, apply heavy
filtering, or route data across multiple outputs.
Rule of thumb: start with Elastic Agent; add Logstash only
when transformation complexity demands it.
Should I save this as a wiki page?
You: Yes
Agent: Saved to wiki/elastic/comparisons/elastic-agent-vs-logstash.md
Updated index.md and log.md.
Output Formats
You can ask for different output formats:
Compare Elasticsearch and a traditional SQL database — as a table
Explain the Elastic Stack ingest layer — as a diagram
Summarize what I know about Fleet — as bullet points
Tips
- Good answers get filed back — explorations compound just like ingested sources
- If the answer spans multiple topics, the agent will say so and cite each page
- Use query to discover gaps: “What do I not yet have a page for?”
- For questions outside the wiki, the agent will say so rather than hallucinate
See Also
- ingest-a-source — adding sources before querying
- lint-the-wiki — keeping pages accurate
- llm-wiki-vs-rag — why querying a wiki beats RAG