Elasticsearch

Let your AI agent search Elasticsearch and answer customers in milliseconds

Your AI agent queries Elasticsearch indices during live conversations, pulling product listings, knowledge articles, and log data in real time. Customers get precise answers backed by your actual data. No canned responses, just search-powered intelligence.

Chosen by 800+ global brands across industries

Search-powered answers, live in conversation

Your AI agent runs Elasticsearch queries the moment a customer asks a question, returning relevant documents, filtering by date ranges, and navigating your index structure on the fly.

Elasticsearch

Use Cases

Search-driven customer interactions

See how businesses with Elasticsearch-backed data power their AI agents to deliver instant, accurate answers that no static FAQ page could match.

Knowledge Base Search That Understands Questions

A customer asks 'How do I reset my password on the mobile app?' Your AI Agent queries your Elasticsearch knowledge base index using full-text search, finds the exact help article, and presents the step-by-step instructions within the chat. The customer resolves their issue without filing a ticket. Your support queue stays clean.

Product Discovery Powered by Real Inventory Data

A shopper messages 'Do you have wireless headphones under $100?' Your AI Agent runs a filtered query against your product index in Elasticsearch with term filters on category and a range filter on price. It returns matching products sorted by relevance. The customer browses real inventory, not a cached catalog, and finds exactly what they want.

Log and Event Lookup for Technical Support

A developer contacts support about API errors they experienced last Tuesday. Your AI Agent queries the logs index in Elasticsearch with a time filter for that specific date range and a term filter for error status codes. It returns the relevant log entries, helping the support team diagnose the issue during the conversation itself.

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Elasticsearch

Elasticsearch

FAQs

Frequently Asked Questions

What types of Elasticsearch queries can the AI agent run?

The agent supports full-text search using query_string syntax, exact-match term filters, date-range filters on timestamp fields, result pagination with from and size parameters, sorting, field selection, aggregations, and highlighting. It covers the most common search patterns needed for customer-facing interactions.

Can the agent query multiple Elasticsearch indices in one conversation?

Yes. The agent can list all indices in your cluster, identify which ones contain relevant data, and run separate queries against different indices within the same conversation. A customer asking about both their order and a help article can get answers from two different indices seamlessly.

Does the agent need access to Kibana or just the Elasticsearch API?

Just the Elasticsearch REST API. The agent connects directly to your cluster endpoint using an API key. No Kibana access is required. This means you can grant the agent read-only API credentials without exposing your visualization dashboards or admin panels.

How does the agent handle large result sets without overwhelming the conversation?

The agent uses pagination (from and size parameters, capped at 1,000 results per query) and field selection to return only the relevant data. It can also summarize aggregation results instead of listing raw documents, so customers see computed answers like counts and averages rather than walls of text.

Does Tars store copies of my Elasticsearch data?

No. Every query runs live against your Elasticsearch cluster during the conversation. Documents, mappings, and index metadata are fetched in real time and used only to respond to the current customer question. Tars does not replicate or cache your cluster data.

Can I restrict which indices the agent is allowed to query?

Yes. Create a dedicated Elasticsearch API key with read-only access scoped to specific indices. The agent can only query indices that the API key permits. Sensitive indices like internal audit logs can be excluded entirely by not granting access in the key's role configuration.

Does the integration work with Elastic Cloud and self-hosted clusters?

Both. You provide the base URL for your cluster, whether it is an Elastic Cloud deployment or a self-hosted instance. As long as the agent can reach the endpoint over HTTPS and authenticate with a valid API key, the integration works identically.

How is this different from Elastic's own chatbot or Search AI Assistant?

Elastic's built-in tools are designed for internal analytics users working in Kibana. Tars puts Elasticsearch search into customer-facing conversations on your website, WhatsApp, and SMS. Your end customers benefit from the search power without ever seeing a dashboard or writing a query.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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