Ai-Knowledge-Graph

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ai-knowledge-graph is an AI-powered knowledge management tool that generates interactive knowledge graphs from unstructured text documents. It extracts subject-predicate-object triplets and visualizes relationships.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is ai-knowledge-graph?

ai-knowledge-graph is an open-source AI-powered tool designed to generate interactive knowledge graphs from unstructured text documents. It leverages large language models (LLMs) to extract Subject-Predicate-Object (SPO) triplets, identify entities, and infer relationships. Key features include automatic text chunking for processing large documents, LLM-assisted entity standardization to ensure consistent naming, and relationship inference to discover connections not explicitly stated. The tool supports any OpenAI-compatible API endpoint, offering flexibility with various LLMs like Ollama, LM Studio, and OpenAI. It generates an interactive HTML visualization with features like color-coded communities, node sizing by importance, and distinct representations for original versus inferred relationships, making complex information easily digestible.

Best used for

Ideal for data scientists and researchers who need to transform unstructured text into structured, visual knowledge, identify hidden relationships, and standardize entity names. Especially valuable for analyzing large datasets, academic papers, or technical documentation to gain deeper insights and improve information accessibility.

Common actions

generate knowledge graphs

extract information

visualize relationships

standardize entities

infer connections

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Capabilities

Key features

Extract SPO triplets
Interactive graph visualization
Text chunking
Entity standardization
Relationship inference
OpenAI compatible API support

Target Audience

data scientistresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of LLMs can I use with ai-knowledge-graph?

ai-knowledge-graph is designed to work with any OpenAI-compatible API endpoint. This includes popular services like OpenAI, as well as local LLM solutions such as Ollama and LM Studio, and other platforms like vLLM and LiteLLM which provide access to AWS Bedrock, Azure OpenAI, and Anthropic.

Can I customize the knowledge graph generation process?

Yes, the system is highly configurable via a `config.toml` file. You can adjust LLM parameters like model and temperature, chunking settings (size, overlap), and enable or disable entity standardization and relationship inference to tailor the process to your specific needs.

How does ai-knowledge-graph handle large documents?

The tool automatically splits large documents into manageable, overlapping chunks. Each chunk is then processed by the LLM to extract information, ensuring that even extensive texts can be analyzed within the LLM's context window without losing continuity.

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Academic Research Study Assistants Course Creation Scientific Computing Summarization Language Learning

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Also listed in

This tool also appears in

Data & Analytics › Data Visualization AI Agents & Automation › RAG & Document AI

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