Harvest Knowledge from Unstructured Data

Harness the power of large language models & semantic technology

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GraphRAG - Knowledge Graph is a real shot in the arm for GenAI

Create Knowledge Graph from Text automatically

Automated pipeline takes text documents as input and produces the knowledge in the form of an RDF semantic knowledge graph.

Domain Specific Semantic Search

Search based on Knowledge Graph produces verifiable answers to complex questions that are useable in downstream applications.

Query Knowledge Graph

Query Knowledge Graph (created from Text as input) using industry standard Query language (SPARQL) and build custom BI applications

Natural Language Query Interface

Ask your Databases in Natural Language and get the expected answers in usual formats effortlessly! Databases supported: SQL, SPARQL, GraphQL, Custom query, JSON, API calls, and other formats.

Knowledge Graph Powered Alerts

Alerts that signify business events reflecting the underlying changes that happen at different times and places and involve different things in the world.

Testimonials

“Wondering how to use #NLP most effectively to help automate #knowledgegraph creation? Lead Semantics TextDistil can be useful in preliminary Knowledge Graph generation.”

Semantic Tech Experts Group

“The integration of Lead Semantics’ platform and AllegroGraph delivers new types of analytic outcomes and insights to provide ‘Smart Data’ for the Enterprise”

Franz, Inc.

"Thank you for creating TextDistil, an excellent tool for enhancing RAG-based large language models' contextualization and reasoning capabilities (LLMs). Generative AI can more effectively respond to inquiries or pose relevant follow-up questions by leveraging the synergy of data and graphs. I experimented with TextDistil in 2022 during my work on ISEEQ while delving into open-domain question-answering. I now observe that TextDistil offers a diverse range of functionalities, making it well-suited for enhancing LLMs' consistency and explainability features."

Dept. of Computer Science
Univ. of Maryland Baltimore County