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Lettria

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Document-intelligence and GraphRAG platform for regulated industries, extracting traceable, verified insights from complex files.

What it does

Lettria is a document-intelligence platform aimed at regulated industries such as healthcare, finance, legal, and engineering. It combines knowledge graphs, ontologies, and GraphRAG (graph plus vector retrieval) to extract reliable, source-grounded answers from complex documents with full traceability. It offers a Knowledge Studio and NLP APIs for text mining, classification, and text-to-graph pipelines, delivered through scoped pilots and production deployments.

How to use: Use Lettria to build ontologies from data, create GraphDBs from raw text, build private GPT chatbots, and leverage GraphRAG for enhanced knowledge retrieval. The platform offers no-code solutions for various NLP tasks and knowledge management.

Core features

GraphRAG combining knowledge graphs and vector retrieval
Ontology building and enrichment from source data
Text-to-graph pipeline for building graph databases from raw text
Document parsing with source traceability
NLP APIs for text mining and classification
Private GPT chatbot building
Enterprise deployment (cloud/VPC, SSO, audit logs, SLA)

Best for

→Query clinical, legal, or financial documents with traceable answers
→Improve RAG accuracy for high-risk, regulated content
→Structure raw text into knowledge graphs for enterprise AI
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