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Neo4j LLM Knowledge Graph Builder

Application

by Neo4j

Neo4j LLM Knowledge Graph Builder uses machine-learning models to transform documents into knowledge graphs of entities and relationships.

Find alternatives to Neo4j LLM Knowledge Graph Builder

What it does

• Document extraction

Features 4

• Multi-Source Document ExtractionTransforms PDFs, documents, images, web pages and YouTube transcripts into a knowledge graph using LLMs.
• Configurable Extraction SchemaLets users configure the extraction schema and apply clean-up operations after extraction.
• Chat With Your DataAsks questions of the extracted data using GraphRAG, vector and Text2Cypher approaches.
• Local DeploymentCan be deployed locally using docker compose from the GitHub repository.

Sources

Pricing

Official documentation · 14 Oct 2026

"We built, open-sourced, and hosted"

Description

Official documentation · 14 Oct 2026

"a knowledge graph of entities and their relationships"

What it does

Official documentation · 14 Oct 2026

"uses ML models to transform PDFs, web pages, and YouTube video transcripts"

Sold within

Official documentation · 14 Oct 2026

"is an online application"

Name

Official documentation · 14 Oct 2026

"Neo4j LLM Knowledge Graph Builder"

URL

Official documentation · 14 Oct 2026

"Neo4j LLM Knowledge Graph Builder"

Deployment

Official documentation · 14 Oct 2026

"running on Google Cloud Run, but you can deploy it locally using docker compose"

Interfaces

Official documentation · 18 Oct 2026

Page: 'The Neo4j LLM Knowledge Graph Builder is an online application for turning unstructured text into a knowledge graph'.

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• GraphAware Hume Application

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• Neo4j AuraDB Platform

  Fully managed Neo4j graph database in the cloud, with a vector index for GenAI and GraphRAG retrieval; Free, Professional, Business Critical and Virtual Dedicated Cloud tiers.

• Neo4j Aura Graph Analytics Platform

  Serverless graph analytics on any data platform with no ETL: run graph algorithms on data from AuraDB or other sources, billed per GB-hour used.

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