Sigmato | Software & Mobile App Development Company
Retrieval Augmented Generation(RAG), The Nextgen Software Development Services and Solutions
Maximize Your AI Efficiency
Enhance your Generative AI LLM with Retrieval-Augmented Generation (RAG) to boost efficiency and performance.
Cost-Effective Implementation
Save on costs by utilizing existing data sources to enhance model performance, avoiding the need for expensive retraining of large language models.
Stay Current
Connect your models to live data sources like social media feeds and news sites to ensure your responses are always up-to-date.
Build User Trust
Increase user confidence by providing accurate information with source attribution, enabling users to verify and trust the data.
Gain Developer Control
Enjoy flexibility in managing information sources, adapting to evolving requirements, and ensuring secure, relevant responses through controlled data retrieval.
Enhance Accuracy
Minimize errors by retrieving information from authoritative sources, reducing the risk of inaccuracies due to outdated or incorrect training data.
Simplify Troubleshooting
Quickly identify and correct issues in model responses by tracing information back to its source, improving the reliability of your AI solutions.
Industries We Specialize In
We leverage our deep expertise in RAG to transform AI capabilities across various industries. Our solutions are sophisticated, scalable, and tailored to meet the unique demands of your business.
- Blockchain
- CRM
- Education
- Enterprise Software
- Fintech
- Game Development
- Healthcare Services
- IoT
RAG improves large language models by integrating external data sources, resulting in more accurate and contextually relevant responses.
- Create Data
Collect and convert external data into a model-compatible format 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 for highly relevant information retrieval. - Enhance the LLM Prompt
Improve user prompts by adding retrieved data in context, using prompt engineering techniques to communicate effectively with the large language model. - Refresh External Data
Regularly update your knowledge base through automated processes to ensure your model has access to the latest information.
Customized Data Integration
We integrate your unique data sources seamlessly with your large language models to ensure optimal performance.
Relevancy Search Optimization
We fine-tune relevancy search algorithms to ensure the most relevant information is retrieved and used by your models.
Advanced Prompt Engineering
Our prompt engineering techniques enhance the effectiveness of your large language models, ensuring accurate and contextually relevant responses.
Data Updating Strategies
Implement robust strategies to keep your data sources up-to-date, ensuring your models always provide the latest and most accurate information.
Security and Compliance
We ensure your data retrieval processes adhere to the highest security standards and regulatory requirements, protecting sensitive information and maintaining user trust.
Continuous Monitoring
We provide continuous monitoring and optimization of your RAG implementations, ensuring consistent performance and reliability of your AI-driven solutions.
Our Software Development Services
We have extensive experience with popular tools, frameworks, and technologies for building AI and Machine Learning-based solutions.
- Computer Vision
- Expert Systems
- Generative AI
Feel free to reach out for more information or to discuss how we can assist with your RAG requirements!