See Queryloop in Action
Watch how Queryloop automatically finds the optimal settings for your LLM applications
Key Features
Automated Parameter Identification
Systematic Experimentation
One-Click Deployment
Comprehensive Evaluation
This demo shows a simplified version of our complete optimization platform
Why choose Queryloop?
No more manual experiments
Eliminate the hassle of slow and manual RAG parameter tuning with our swift, automated solution
Find the optimal configuration for your RAG application in seconds.
Maximize efficiency with the best chunking, retrieval, and models.
Queryloop Performance Impact
Queryloop-optimized models significantly improve accuracy while reducing hallucinations by a factor of 10.
Slash costs and time to market
Queryloop streamlines your search for the optimal RAG response.
Achieve significant cost reductions by building production-grade LLM Apps within hours.
Keep a clear and organized record of all experiments conducted, ensuring transparency and informed decision-making.
Finetune over your data
Perform Embedding Optimization over your data to enhance retrieval accuracy.
Perform LLM fine-tuning over your data to improve the generated response
Client Success Story
See how Queryloop's optimization drives measurable business results
“Partnering with Queryloop to optimize our RAG app has been a game changer! They uncovered opportunities we never thought possible taking our product to a whole new level. The results were improved accuracy, super fast retrieval and reduced LLM costs. With a system that self-monitors and self-optimizes, our clients continue to rave about the quality and value our app delivers.”
“Working with Queryloop has also allowed us to roll out new features in record time, reducing development time and going to market faster than ever before. This resulted in doubling our business in just under 90 days.”
“If you're building a Gen AI app and want to level up, I can't recommend Queryloop enough. They are the real deal.”
Marc Hernandez
Founder & CEO,Guideline Buddy
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We integrate with the best AI and vector database solutions
Experience Queryloop's Automated Optimization Flow
Queryloop optimizes your RAG pipeline by automatically evaluating and fine-tuning chunking strategies, embedding models, retrieval methods, and LLM parameters to deliver the best performing AI applications.
Simple, transparent pricing
Choose the plan that's right for you
Feature Comparison
Feature Comparison
| Features | Starter | Pro | Enterprise |
|---|---|---|---|
Core Features | |||
Generation Optimization Automatically experiment with different LLMs and prompting styles. | |||
Retrieval Optimization Retrieval optimization involves the strategic identification of optimal chunking methodologies, embedding techniques, distance metrics, query preprocessing methods, and reranking approaches to significantly enhance information retrieval efficacy. | |||
API & Keys | |||
Data & Applications | |||
Team & Users | |||
Advanced Features | |||
Please note that the costs for the LLM API and Vector Database API are exclusive and not included in the base subscription fee