Lettria — GraphRAG platform for trusted AI
Lettria is a GraphRAG platform that transforms unstructured data into reliable knowledge graphs for enterprise AI teams
Lettria is a specialized GraphRAG platform that helps businesses improve the accuracy and explainability of their generative AI applications. It is designed for enterprise teams and developers who need to transform large volumes of unstructured data into reliable, structured knowledge graphs. By utilizing a text-to-graph pipeline, Lettria ensures that AI models maintain context and avoid the common hallucinations found in standard RAG systems. The platform provides a suite of no-code tools for creating and managing ontologies, making complex data processing accessible to non-technical business users. Business owners can use Lettria to process up to 50,000 daily reviews or analyze intricate customer service logs for CRM optimization. This infrastructure allows organizations to build domain-specific knowledge bases that preserve the subtle nuances of their data across various industries. Enterprise teams rely on Lettria to automate the interpretation of specialized documents such as patient reports in healthcare or financial filings for investment analysis. By integrating these structured insights into your existing stack, you ensure that every AI-generated response is backed by a transparent knowledge source. You can find detailed technical breakdowns of such platforms on surfai.app to compare with other graph-based solutions. The platform offers a freemium model with a free tier for initial exploration and development. For large-scale enterprise deployments and high-frequency data processing, custom pricing plans are available to meet specific architectural requirements in 2026.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | OpenAI, Pinecone, Neo4j, LlamaIndex, LangChain, Azure OpenAI |
| Best for | enterprise-teams, data-scientists, ai-engineers, product-managers |
| Website status checked | 2026-10-23T12:00:09.2+00:00 |
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|---|---|---|---|
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