Build Smarter AI with Expert Retrieval-Augmented Generation (RAG) Developers

Retrieval Augmented Generation as a Service

Optimize your large language models with Retrieval-Augmented Generation (RAG). Enhance accuracy, relevancy, and trust in your AI-driven solutions.

GET IN TOUCH

Where We Can Help in Retrieval Augmented Generation

We are able to excel at developing Retrieval Augmented Generation solutions because we attract ambitious and curious software developers seeking to build intelligent applications using modern frameworks. Our team can help you proof, develop, harden, and maintain your Retrieval Augmented Generation solution.

Resources

Top Gen AI Companies

LLM Fine Tuning

Python Development

Our AI Solutions

What is Agentic AI

Customized Data Integration

We assist in integrating your unique data sources, ensuring seamless compatibility with your large language models for optimal performance.

Relevancy Search Optimization

We fine-tune relevancy search algorithms, ensuring the most relevant information is retrieved and used by your models.

Prompt Engineering

We provide advanced prompt engineering techniques to enhance the effectiveness of your large language models, ensuring accurate and contextually relevant responses.

Data Updating Strategies

Implement robust strategies for keeping your data sources up-to-date, ensuring your models always provide the latest and most accurate information.

Security and Compliance

Ensure your data retrieval processes adhere to the highest security standards and regulatory requirements, protecting sensitive information and maintaining user trust.

Monitoring

Continuous monitoring and optimization of your RAG implementations, ensuring consistent performance and reliability of your AI-driven solutions.

How Retrieval Augmented Generation Works

RAG enhances the capabilities of large language models by integrating external data sources, leading to more accurate and contextually relevant responses.

Working with Retrieval Augmented Generation

Create Data

Collect and convert external data into a format compatible with your model, using APIs, databases, or document repositories to build a comprehensive knowledge base.

Retrieve Relevant Information

Perform a relevancy search by converting user queries into vector representations and matching them with the vector database, ensuring highly relevant information retrieval.

Improve the LLM Prompt

Enhance user prompts by adding retrieved data in context, using prompt engineering techniques to communicate effectively with the large language model.

Refresh External Data

Maintain data relevancy by regularly updating your knowledge base through automated processes, ensuring your model always has access to the latest information.

Benefits of
Retrieval Augmented Generation

Maximize the efficiency and performance of your Generative AI LLM with Retrieval-Augmented Generation (RAG).

start today

Cost-effective Implementation

Reduce costs by avoiding retraining large language models. Leverage existing data sources to enhance model performance without extensive reworking.

Current Information

Keep your responses up-to-date by connecting to live data sources like social media feeds or news sites, ensuring your model provides the latest information.

Enhanced User Trust

Improve user confidence by providing accurate information with source attribution, allowing users to verify and trust the data presented.

More Developer Control

Gain flexibility in managing information sources, adapting to changing requirements, and ensuring secure, relevant responses through controlled data retrieval.

Improved Accuracy

Reduce the risk of inaccuracies by retrieving information from authoritative sources, minimizing errors due to outdated or incorrect training data.

Efficient Troubleshooting

Easily identify and correct issues in model responses by tracing information back to its source, enhancing the overall reliability of your AI solutions.

Schedule A Call

Book a time for a free consultation with one of our AI development experts to explore your Retrieval Augmented Generation requirements and goals.

Talk to an expert

Retrieval Augmented Generation

Build Intelligents Apps with Azumo for Retrieval Augmented Generation

Build

Start with a foundational model tailored to your industry and data, setting the groundwork for specialized tasks.

Tune

Adjust your AI for specific applications like customer support, content generation, or risk analysis to achieve precise performance.

Refine

Iterate on your model, continuously enhancing its performance with new data to keep it relevant and effective.

Consult

Work directly with our experts to understand how fine-tuning can solve your unique challenges and make AI work for your business.

Simple, Efficient, Scalable Fine-Tuning for Retrieval Augmented Generation

Get a streamlined way to fine-tune your model and improve performance without the typical cost and complexity of going it alone

Get started

With Azumo You Can . . .

Get Targeted Results

Fine-tune models specifically for your data and requirements

Access AI Expertise

Consult with experts who have been working in AI since 2016

Maintain Data Privacy

Fine-tune securely and privately with SOC 2 compliance

Have Transparent Pricing

Pay for the time you need and not a minute more

Our fine-tuning service for LLMs and Gen AI is designed to meet the needs of large, high-performing models without the hassle and expense of traditional AI development

Case Study