Translate natural language into Elasticsearch queries with EQuIP

An open-source AI model that understands your intent and generates accurate Elasticsearch queries.

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How It Works

Model Architecture

Built on a transformer-based architecture optimized for query understanding and generation.

Training Process

Trained on millions of natural language to Elasticsearch query pairs for optimal performance.

Performance

Achieves state-of-the-art accuracy while maintaining fast inference times.

Features

Natural Language Interface

Write queries in plain English, get Elasticsearch DSL

Fast Generation

Optimized for quick response times

High Accuracy

95%+ accuracy on benchmark datasets

Open Source

Free to use and modify under MIT license

Benchmarks

Model Accuracy Latency Parameter
EQuIP 3B 95.8% 45ms 3B
LLaMA 3.1 92.3% 120ms 8B
Mistral 91.5% 85ms 7B