Lettria

Lettria GraphRAG Knowledge Studio" (Enterprise GenAI) Overview

Lettria offers a GraphRAG-based solution called Knowledge Studio designed to enhance GenAI accuracy and verifiability when interacting with complex, unstructured data. It combines graph data and vector embeddings to deliver transparent, source-backed answers, reducing hallucinations and speeding up knowledge work across industries such as healthcare, finance, legal, engineering, and more. The platform emphasizes trustworthy AI through traceability, data-model enrichment, and a focus on verifiable results.

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Key Benefits

• Improve GenAI accuracy by leveraging GraphRAG to structure and retrieve knowledge from complex documents and data.
• Transparent, verifiable AI: trace each assumption and relationship back to its source.
• Build trust and adoption with a clear, auditable data model and concise, testable outputs.
• Automate repetitive knowledge tasks via knowledge graphs, reducing manual effort and accelerating insights.
• Minimize AI hallucinations by combining large-scale signals with precise, domain-specific data.

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How It Works

1. Ingest and organize diverse data sources (documents, databases, feeds).
2. Build knowledge graphs and ontology enrichment tailored to your domain.
3. Apply GraphRAG to fuse graph structure with vector representations for robust retrieval and reasoning.
4. Generate verifiable responses with source references and traceable inferences.
5. Deploy in your environment with privacy, security, and governance aligned to enterprise needs.

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Use Cases & Industry Focus

• Healthcare: structure patient data and clinical information for reliable AI-assisted insights.
• Finance: read and interpret financial documents with precise, auditable outputs.
• Legal: ensure transparent, reliable legal AI that avoids common pitfalls of unverified AI.
• Engineering & Tech: manage engineering documents and data for accurate AI assistance.

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How to Use Lettria Knowledge Studio

1. Connect data sources (documents, ERP/CRM systems, databases).
2. Define your ontology and graph structure to reflect domain concepts and relationships.
3. Enable GraphRAG processing to combine graph context with raw text representations.
4. Query through AI capabilities, ensuring answers include traceable sources and justifications.
5. Monitor, refine, and govern AI behavior with enterprise-grade controls.

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Safety & Governance

• Emphasizes transparency and verifiability to support governance and compliance.
• Designed to reduce hallucinations by anchoring responses to sourced data and clear relationships.

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Core Features

• GraphRAG: integrate graph data with vector search for robust, trustworthy AI
• Knowledge Studio: enterprise-grade platform for building, querying, and governing knowledge graphs
• Text to Graph Pipeline: convert unstructured text into structured graphs
• Ontology Enrichment: enrich data with domain-specific ontologies
• Private GPT: build and fine-tune enterprise-grade chatbots within your environment
• NLP Studio: comprehensive NLP toolset for text mining, classification, and more
• Text Mining API: extract insights from raw text data
• Text Classification API: classify text using your ontology
• Prompt Engineering: advanced prompt solutions for SaaS applications
• Security & Compliance: governance features suitable for regulated industries
• Verifiable Outputs: traceable answers with source references
• Deployment Flexibility: on-premises or private cloud options

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Related Solutions & Resources

• Text to Graph
• GraphRAG
• Ontology Enrichment
• Industry-focused use cases (Healthcare, Finance, Legal, Engineering)