Elastic AI Assistant
ExternalElastic AI Assistant is a generative AI sidekick built on the Elasticsearch Relevance Engine, using retrieval-augmented generation (RAG) to provide accurate, context-aware answers from your private data in search, security, and observability. It streamlines workflows by assisting with natural-language query construction, data indexing, visualizations, troubleshooting, and threat investigations, significantly reducing mean time to resolution (MTTR). Ideal for SREs, SecOps teams, and enterprise data professionals who need scalable, business-specific AI insights without silos or complexity.
Description
Elastic AI Assistant is a generative AI sidekick built on the Elasticsearch Relevance Engine, using retrieval-augmented generation (RAG) to provide accurate, context-aware answers from your private data in search, security, and observability. It streamlines workflows by assisting with natural-language query construction, data indexing, visualizations, troubleshooting, and threat investigations, significantly reducing mean time to resolution (MTTR). Ideal for SREs, SecOps teams, and enterprise data professionals who need scalable, business-specific AI insights without silos or complexity.
Key capabilities
- Generative AI sidekick for search, security, and observability using RAG on Elasticsearch Relevance Engine
- Assists in constructing queries, indexing data, API calls, visualizations, troubleshooting, and threat investigation
- Supports configurable LLM connectors like OpenAI, Azure, Amazon Bedrock, and Elastic Managed LLMs
Core use cases
- 1.Alert triage, incident response, and query generation for security teams
- 2.Interpreting logs, optimizing code, and root-cause analysis for SREs
- 3.Scalable RAG for enterprise search and log analysis
Is Elastic AI Assistant Right for You?
Best for
- SREs and observability teams needing log interpretation and code optimization
- Security teams (SecOps) for alert triage, threat research, and SIEM tasks
- Enterprise data teams handling production-scale search and RAG
Not ideal for
- Beginners or non-Elasticsearch users due to steep learning curve and ecosystem lock-in
- Users with simple chatbot needs, as it's enterprise-focused and overkill
- Cost-sensitive solo developers due to paid LLMs and token expenses
Standout features
- Natural-language chat interface connected to private data and runbooks
- Retrieval-augmented generation for accurate, business-specific responses
- API integration for seamless workflow embedding
- Multi-LLM support with connectors for major providers
Pricing
Standard
Platinum
Enterprise
Gold
User Feedback Highlights
Most Praised
- Accelerates incident response and reduces MTTR for security and observability teams
- Provides context-aware insights and real-time bug spotting
- Praised for scalable RAG and hybrid search on community forums like Reddit and HN
- Reports of cost savings compared to alternatives
Common Complaints
- AWS Bedrock integration issues with rate limiting and errors
- Errors on large inputs, especially in Attack Discovery queries
- Requires paid API access for third-party LLMs; no full free tier
- High token costs and opaque enterprise pricing