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Our partnership with Lettria has enabled our teams to integrate AI into their workflows. Their collaborative approach and understanding of our challenges has resulted in the implementation of a solution that supports our experts on a daily basis in the analysis of complex technical documents,’
Jesse, IS Manager, Alfa Laval Golbey
The Challenges
Unlocking the True Potential of RAG Projects
Many AWS clients embark on Retrieval-Augmented Generation (RAG) initiatives to leverage Generative AI for high-stakes applications. However, these efforts often stumble when faced with complex, unstructured data, due to:
- Data Complexity Challenges:
- Proprietary datasets rich in jargon, cryptic formats, or dense technical information lose nuance during traditional vector-based processing.
- Flattened context results in inaccuracies, poor generalization, and AI "hallucinations."
- Privacy and Compliance Concerns:
- Sensitive or confidential information can't be freely processed or stored in public environments.
- Enterprises need solutions that ensure control, compliance, and secure data handling.
These limitations erode trust, delay deployments, and stifle innovation for AI champions striving to deliver impactful solutions.
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The Solution
GraphRAG by Lettria: A Business-Class RAG Pipeline
With Lettria’s GraphRAG, powered by Amazon SageMaker, enterprises can finally overcome the hurdles of accuracy and privacy in their RAG workflows.
Key Benefits:
- High-Fidelity Context Preservation:
- Retains relationships and nuance in complex, unstructured data, ensuring your AI provides precise and trustworthy outputs.
- Privacy-First Approach:
- Lettria’s system integrates seamlessly with secure environments like AWS S3, enabling compliant data processing without sacrificing utility.
- Effortless Scalability with SageMaker:
- SageMaker automates training and inference, empowering users to build custom text classifiers at scale with Lettria's no-code tools.
- Transparent and Explainable Outputs:
- A traceable pipeline ensures AI logic is clear, fostering trust and enabling confident decision-making.
Why AWS + Lettria?
- Best of Both Worlds: Lettria’s GraphRAG pipeline uses SageMaker’s flexibility and power to handle intensive model training while prioritizing cost transparency and resource optimization.
- Enterprise-Ready: Designed to meet the demands of industries with complex data and stringent privacy requirements.
Ready to transform your RAG initiatives?
Explore the power of AWS and Lettria to create reliable, scalable, and private AI solutions that work.