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.

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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.

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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).

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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.

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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.

Featured Service for Retrieval Augmented Generation

Get Help to Fine-Tune Your Model for Just $0.05 per Data Pair

Take the next step forward and get the most out of your AI models without the high cost and complexity associated with Gen AI development.

Fine-tune for just $0.05 per data pair for your first 15,000 pairs. Explore the full potential of a tailored AI service built for your application.

Plus take advantage of our AI software architects consulting to light the way forward.

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

Case Study

Highlighting Our Fine Tuning Expertise:

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Leading Oil & Gas Company

Transforming Operations Through AI-Driven Solutions

Insights on LLM Fine Tuning

Enhancing Customer Support with Fine-tuned Falcon LLM

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Beyond Our Retrieval Augmented Generation Software Development Services, There is More

We have worked with many of the most popular tools, frameworks and technologies for building AI and Machine Learning based solutions.

Computer Vision
Expert Systems
Generative AI
LLM Fine Tuning
Multimodal AI
Natural Language Processing
Reinforcement Learning