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.
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
Starter
Free trial with limitations
- Limited retrieval optimization
- Limited generation optimization
- Support for limited foundation models
- Support for structured and unstructured data
- Natural language database queries
- Ability to create a single application
- Set your own PineCone and OpenAI keys to remove limitations on the number of files, hyperparameter combinations, and benchmark answers
Pro
For teams ready to scale
- Retrieval optimization including identification of the optimal chunking strategy, embedding options, distance metrics, query preprocessing, and reranking methods
- Generation optimization including identification of the best prompts and the most suitable LLMs
- Support for major foundation models
- Support for structured and unstructured data
- Natural language database queries
- Metadata filtering
- Access to beta features
Enterprise
Custom solutions for large teams
- Everything in Pro Package plus the following:
- Extensive Custom Support by top LLM experts
- Automatic embedding and LLM fine-tuning with Grid search and Bayesian optimization
- Ability to download LLM experiments
- Ability to deploy at scale on QL cloud
- Custom-built optimized applications by our LLM experts over your data
Feature Comparison
| Features | Starter | Pro | Enterprise |
|---|---|---|---|
Core Features | |||
Prompt Optimization Prompt Optimization focuses on enhancing the instructions given to a language model (LLM) to improve the quality of its outputs. | |||
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