AI search, RAG and agents all depend on fast, relevant retrieval. These free tools help you size, cost and harden the Elasticsearch and OpenSearch clusters underneath them.
Estimate vector index memory for Elasticsearch, OpenSearch and Qdrant side by side, for any vector count, dimension and quantization - with the documented formula behind every number.
Edit keyword and vector result lists, switch between RRF and score normalization, and watch the fused ranking change. Copy the matching Elasticsearch or OpenSearch query.
Model an AI agent step by step - success rate, retries, verifiers, tokens - and see end-to-end reliability, cost and latency before you build.
Estimate Elasticsearch or OpenSearch storage and compute costs from published sizing guidance, with every unit price editable and sourced.
Assess your cluster health in 5 minutes. Get a detailed report on performance, reliability, security, and actionable recommendations.
32 essential best practices for production Elasticsearch. Interactive checklist covering performance, reliability, security, architecture, and monitoring.
Side-by-side technical comparisons to help you pick the right retrieval engine for your product.
Created by the engineers who design, tune and operate search clusters for our clients.
All tools and resources are completely free. No credit card or signup required.
Get specific recommendations you can implement immediately.
Our tools give you a starting point. For your specific AI, agent or search challenge, book a free 30-minute call with our engineers.
