Elasticsearch

Data & Analytics

Neotask makes Elasticsearch's search and analytics capabilities conversational - exploring indices, running queries, and executing ES|QL to surface insights from your data without leaving your workflow.

• Log and event data becomes instantly queryable - your agent executes Elasticsearch queries on demand so your team gets answers from operational data in seconds, not hours
• Index management happens through conversation - your agent explores mappings, checks shard health, and audits your Elasticsearch infrastructure without command-line access
• Advanced analytics run autonomously - your agent uses ES|QL to run complex analytical queries across your Elasticsearch data and deliver formatted results to any downstream system

What You Can Do

The Elasticsearch integration gives Neotask 5 search and analytics actions.

• list_indices - enumerate all indices in your Elasticsearch cluster with document counts and health status
• get_mappings - retrieve the field mappings and data types for a specific index
• search - execute a full Elasticsearch query against any index with filtering, aggregation, and sorting
• esql - run ES|QL queries for advanced analytical operations with tabular results
• get_shards - check shard allocation and health across your cluster

Every action runs autonomously or requires your approval - you decide.

Try Asking

• "List all indices in our Elasticsearch cluster - how many documents are in each?"
• "Search the application logs index for error events from the last hour grouped by service"
• "What are the field mappings for our customer_events index?"
• "Run an ES|QL query to find the top 10 slowest API endpoints by average response time this week"
• "Check shard health across our cluster - are there any unassigned shards?"

Pro Tips

• Schedule operational health checks: your agent queries cluster status, flags index issues, and delivers a daily infrastructure report
• Use esql for business reporting queries - its tabular output format integrates cleanly with your reporting and notification tools
• Pair Elasticsearch with your alerting integration so anomaly queries run continuously and trigger notifications when thresholds are crossed
• Use get_mappings before writing complex queries - your agent maps the field structure to avoid type mismatches and query failures

Plans

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