Triplex

An open-source knowledge graph construction model with low costs.

InternationalSelectionProgrammingKnowledge GraphOpen Source

Triplex is an innovative open-source model that transforms large amounts of unstructured data into structured data. Its performance in knowledge graph construction surpasses that of GPT-4, and its cost is only one-tenth of it. By efficiently converting unstructured text into the foundational building blocks of knowledge graphs—semantic triples—it significantly reduces the cost of knowledge graph generation.

Convert unstructured data into structured data.
Construct knowledge graphs
supporting complex and simple relational queries.
Open-source
available on HuggingFace and Ollama.
Utilize DPO and KTO for additional training to enhance model performance.
Train on datasets generated from authoritative data sources to ensure model diversity and robustness.
Integrate with R2R RAG engine and Neo4J for local knowledge graph construction.
Provide documentation and trials for users to quickly get started.

\The target audience includes enterprises and research institutions that need to build knowledge graphs
especially those that are cost-sensitive and deal with large volumes of unstructured data. Triplex is particularly suitable for data-intensive applications and scenarios requiring rapid extraction of information from text due to its cost-effectiveness and high efficiency.\

Companies use Triplex to construct knowledge graphs from customer feedback to improve products and services.
Research institutions utilize Triplex to analyze scientific literature and build knowledge networks within their fields.
Educational institutions employ Triplex to extract knowledge points from textbooks
constructing course association graphs.

Visit the Triplex open-source page to learn about the model's basic information and features.
Read the documentation to understand how to install and configure the Triplex model.
Prepare unstructured data inputs according to specific requirements.
Use the Triplex model to process data and generate semantic triples.
Integrate the generated triples to construct a knowledge graph.

Visit

Triplex Visit Over Time

Monthly Visits

17406

Bounce Rate

45.40%

Page per Visit

2.8

Visit Duration

00:01:12

Triplex Visit Trend

Triplex Visit Geography

Triplex Traffic Sources

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