What AI says about Neo4j
Since Jul 5Updated Nov 3, 2026Based on 40,703 AI responses
Reviewed by Dimitry Apollonsky
AI summary
Neo4j is a graph database platform with tools like the LLM Knowledge Graph Builder for creating knowledge graphs and running graph analytics. It is the usual answer when teams need to extract entities and relationships from unstructured text without a predefined schema and query the results using language models.
Neo4jThis page2%
Products
- LLM Knowledge Graph Builder<1%
- Bloom<1%
- Aura<1%
Mentioned in
2%
of AI answers about Neo4j and its rivals
- ChatGPT2%
- Google AI Mode1%
AI calls itindustry standard,gold standard,mature,graph database,leading,market leader
Markets where AI mentions Neo4j
VisibilityLowHighFew answers
All marketsChatGPTGoogle AI Mode
- AI Knowledge Graph PlatformsChatGPTGoogle AI Mode
- AI Knowledge Base Assistant BotsChatGPTGoogle AI Mode
- Audit and Fraud Analytics SoftwareChatGPT
- Text-to-SQL Semantic Layer PlatformsOutside both engines’ top 25
- AdTech and MarTech PlatformsOutside both engines’ top 25
- Business Intelligence & Analytics SoftwareOutside both engines’ top 25
- Fraud Detection and Prevention PlatformsOutside both engines’ top 25
- Vector Database PlatformsOutside both engines’ top 25
- Enterprise Cloud Storage & Data PlatformsOutside both engines’ top 25
- LLM Agent Frameworks and ToolingOutside both engines’ top 25
- Customer Data Platforms & Churn PredictionOutside both engines’ top 25
- Industrial Digital Twin PlatformsOutside both engines’ top 25
Topics where AI mentions Neo4j
TopicMentioned in · on this topicRank
- AI picks mostMentioned in
- What's the best tool to build a knowledge graph that grounds an enterprise agent?on this questionAI picks Neo4j most98%
Excerpts where Neo4j appeared in the AI's answer
ChatGPTSep 19, 2026, ChatGPT If your goal is an enterprise agent grounded in structured + unstructured company knowledge, my default choice today would be Neo4j.
ChatGPTSep 15, 2026, ChatGPT If the goal is **an enterprise agent that needs reliable, explainable grounding**, my default pick today is **Neo4j**.
- I want to build a knowledge graph from unstructured text and query it with an LLM. What's the best graph database and LLM integration?on this questionAI picks Neo4j most98%
Excerpts where Neo4j appeared in the AI's answer
ChatGPTSep 25, 2026, ChatGPT My default choice: Neo4j + Neo4j GraphRAG + an LLM with structured output.
Google AI ModeSep 21, 2026, Google AI Mode It supports property graphs, native vector search, and specialized extensions like Neo4j Graph Data Science and the Neo4j GraphRAG Python package for hybrid retrieval.
- I need a knowledge graph that can be queried by a Large Language Model.on this questionAI picks Neo4j most100%
Excerpts where Neo4j appeared in the AI's answer
Google AI ModeNov 3, 2026, Google AI Mode It supports Cypher and has native integrations like Neo4j GraphRAG for LLMs.
Google AI ModeOct 21, 2026, Google AI Mode Popular frameworks for this setup include Neo4j with LangChain Graph Transformers
- I need a knowledge graph builder that ingests unstructured text and does not require a pre-defined schema.on this questionAI picks Neo4j most71%
Excerpts where Neo4j appeared in the AI's answer
ChatGPTOct 5, 2026, ChatGPT It supports PDFs, documents, web pages, YouTube transcripts, and other sources, and stores the resulting graph in Neo4j.
Google AI ModeSep 27, 2026, Google AI Mode The resulting dynamic nodes and edges are written straight into a graph database like Neo4j.
- What is the best tool for creating a knowledge graph by automatically extracting entities and relationships from unstructured text?on this questionAI picks Neo4j most86%
Excerpts where Neo4j appeared in the AI's answer
Google AI ModeNov 1, 2026, Google AI Mode Neo4j GraphRAG Ecosystem & Python Driver — Best for enterprise storage and visualization
Google AI ModeOct 16, 2026, Google AI Mode Built by Neo4j Labs, this tool lets you upload PDFs, web pages, or documents via a simple interface, uses LangChain's graph transformers under the hood to pull out nodes and edges, and pushes them directly into a Neo4j database
- I need to create a knowledge graph. What's an AI tool that can automatically extract entities and relationships from a large corpus of unstructured text documents?on this questionAI picks Neo4j most73%
Excerpts where Neo4j appeared in the AI's answer
Google AI ModeOct 28, 2026, Google AI Mode Neo4j GenAI / LangChain integrations : Neo4j provides robust developer tooling
ChatGPTOct 28, 2026, ChatGPT You can then load the results into a graph database such as Neo4j if you want interactive graph exploration.
Neo4j in AI answers
1 of 8
I need to create a knowledge graph. What's an AI tool that can automatically extract entities and relationships from a large corpus of unstructured text documents?
ChatGPTChatGPT· Oct 28, 2026
You can then load the results into a graph database such as Neo4j if you want interactive graph exploration.
Google AI ModeGoogle AI Mode· Oct 28, 2026
Neo4j GenAI / LangChain integrations : Neo4j provides robust developer tooling
Sources AI cites
- Your site47%
- How to convert unstructured text to knowledge graphs using LLMs (opens in a new tab) · 4%Leaves Neo4j out
- User Guide: Knowledge Graph Builder — neo4j-graphrag-python documentation (opens in a new tab) · 4%Leaves Neo4j out
- Neo4j LLM Knowledge Graph Builder - Extract Nodes and Relationships from Unstructured Text - Developer Guides (opens in a new tab) · 4%
- Creating Knowledge Graphs from Unstructured Data - Developer Guides (opens in a new tab) · 3%
- Neo4j LLM Knowledge Graph Builder - Extract Nodes and Relationships from Unstructured Text - Neo4j Labs (opens in a new tab) · 2%
- Neo4j Graph Intelligence Platform (opens in a new tab) · 2%Leaves Neo4j out
- How to improve multi-hop reasoning with knowledge graphs and LLMs (opens in a new tab) · 2%
- Introduction to the Neo4j LLM knowledge graph builder (opens in a new tab) · 1%
- Generative AI - Ground LLMs with Knowledge Graphs (opens in a new tab) · 1%
- GraphRAG - Neo4j Labs (opens in a new tab) · 1%
- 8%
- Building a Knowledge Graph: A Comprehensive End-to-End Guide Using Modern Tools | by Brian James Curry | Jan, 2026 | Medium (opens in a new tab) · 1%
- Medium (opens in a new tab) · 1%
- GraphRAG & Graph Databases: Grounding LLMs with Knowledge Graphs | by QuarkAndCode | Feb, 2026 | Medium (opens in a new tab) · <1%
- Top 10 Query Languages Every Developer Should Know | by Muhammad Azeem (Full-Stack Developer) | Medium (opens in a new tab) · <1%
- Powerful Alternatives to SQL that Will Revolutionize Database Management (opens in a new tab) · <1%
- Build Robust Chatbots with Neo4j, Knowledge Graphs, and LLMs | by Maninder Singh | Medium (opens in a new tab) · <1%
- Graph RAG (Retrieval Augmented Generation): The Future of AI-Powered Search & Retrieval | by Tahir | Medium (opens in a new tab) · <1%
- Enhance Semantic Search of Text Embeddings through Collaborative Filtering over A Knowledge Graph (opens in a new tab) · <1%
- From Vector Search to Knowledge Traversal: Upgrading Your RAG with Graphs (opens in a new tab) · <1%
- Key Generative AI Frameworks and Tools Every AI/ML Engineer Should Master! (opens in a new tab) · <1%
- 6%
- Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4j (opens in a new tab) · <1%
- LangExtract: Turn Messy Text into Graph-RAG Insights (opens in a new tab) · <1%
- Extracting Knowledge Graphs From Text With GPT4o (opens in a new tab) · <1%
- NODES 2024 - Building Knowledge Graphs With LLMs (opens in a new tab) · <1%
- Create Knowledge Graphs from Unstructured Data with Neo4j ... (opens in a new tab) · <1%
- Graph DB to LLM: Chat with Structured Data (NO Cypher/SQL) (opens in a new tab) · <1%
- LLMS With Knowledge Graph (opens in a new tab) · <1%
- NODES 2023 - Using LLMs to Convert Unstructured Data ... (opens in a new tab) · <1%
- Beginner's Guide to Neo4j Graph Databases ... (opens in a new tab) · <1%
- Using LLMs to Create Knowledge Graphs From a Large ... (opens in a new tab) · <1%
- 2%
- [P] Generating Knowledge Graphs From Unstructured Text Data (opens in a new tab) · <1%
- graphrag: Defining the schema...or not? (opens in a new tab) · <1%
- Alternatives to SQL? Are there even any? (opens in a new tab) · <1%
- reddit.com (opens in a new tab) · <1%
- Better approaches for building knowledge graphs from bulk unstructured data (like PDFs)? (opens in a new tab) · <1%
- How can we use knowledge graph for LLMs? (opens in a new tab) · <1%
- Enterprise data is messy, how do you make it work for AI? (opens in a new tab) · <1%
- Nomik – Open-source codebase knowledge graph (Neo4j + MCP) for token-efficient local AI coding agents (opens in a new tab) · <1%
- According to Stanford, even pro-grade RAG systems (the kind used by lawyers) are only right 65% of the time at best: (opens in a new tab) · <1%
- I want to build a knowledge graph - can you tell me if that's something doable and makes sense, or it's complete nonsense (opens in a new tab) · <1%
- 2%
- KGGen: Extracting Knowledge Graphs from Plain Text with Language Models (opens in a new tab) · <1%
- [2412.18702] CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era (opens in a new tab) · <1%
- [2412.00608] Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation (opens in a new tab) · <1%
- [2510.10123] The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search (opens in a new tab) · <1%
- Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval (opens in a new tab) · <1%
- A Knowledge Graph-based Retrieval-Augmented Generation Framework for Algorithm Selection in the Facility Layout Problem (opens in a new tab) · <1%
- [2309.09069] Constructing a Knowledge Graph for Vietnamese Legal Cases with Heterogeneous Graphs (opens in a new tab) · <1%
- [2505.23628] AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora (opens in a new tab) · <1%
- [2507.03226] Towards Practical GraphRAG: Efficient Knowledge Graph Construction and Hybrid Retrieval at Scale (opens in a new tab) · <1%
- Benchmarking Vector, Graph and Hybrid Retrieval Augmented Generation (RAG) Pipelines for Open Radio Access Networks (ORAN) (opens in a new tab) · <1%
- 2%
- GitHub - neo4j-labs/llm-graph-builder: Neo4j graph construction from unstructured data using LLMs · GitHub (opens in a new tab) · 2%
- GitHub - aimaster-dev/knowledge-graph-construction: This AI-powered tool extracts Subject-Predicate-Object (SPO) triplets from unstructured text using LLMs, performs entity standardization and relationship inference, and generates interactive, community-detected knowledge graphs with rich visualizations. · GitHub (opens in a new tab) · <1%
- GitHub - dbmi-pitt/UMLS-Graph: UMLS Graph database for semantic queries (opens in a new tab) · <1%
- GitHub - neo4j/neo4j-graphrag-python: Neo4j GraphRAG for Python · GitHub (opens in a new tab) · <1%
- ShubhamKumarNigam/NyayaRAG: RAGLegal: A Retrieval- ... - GitHub (opens in a new tab) · <1%
- 1%
- Learn how to build a knowledge graph with agents from Neo4j ... (opens in a new tab) · <1%
- Enhancing Customer Service with Knowledge Graphs and ... (opens in a new tab) · <1%
- Why Neo4j and Graph Databases are Becoming Essential in the Age of AI (opens in a new tab) · <1%
- CRUD and ACID properties of graph databases - Neo4j Video Tutorial (opens in a new tab) · <1%
- Rebuild with Agentic AI or Refactor Legacy Systems | Alan Wales posted on the topic (opens in a new tab) · <1%
- How Retrieval-Augmented Generation (RAG) Works in Legal ... (opens in a new tab) · <1%
- 5 RAG Architectures for AI Engineers to Know in 2026 | Brij Kishore Pandey posted on the topic (opens in a new tab) · <1%
- Making LLMs Work with Your Company Data (opens in a new tab) · <1%
- Part 2 - Building AI Agents with Hybrid Architecture - LinkedIn (opens in a new tab) · <1%
- What are Retrieval Augmented Generation (RAG) Systems? (opens in a new tab) · <1%
- Leaves Neo4j out1%
- Combining Knowledge Graphs With LLMs | Complete Guide (opens in a new tab) · <1%
- Knowledge Graph Tools Compared: Features, Pricing, and Use Cases (opens in a new tab) · <1%
- Context Graph Tools for AI Agents: Architecture and Top Picks (opens in a new tab) · <1%
- 12 Advanced RAG Techniques: Beyond Naive Retrieval [2026] (opens in a new tab) · <1%Leaves Neo4j out
- Context Engineering Tools for AI Agents: Complete 2026 Guide (opens in a new tab) · <1%
- Context Graph vs. Vector Database: Key Differences for AI Agents (opens in a new tab) · <1%
- Top Vector Databases for Enterprise AI: 2026 Comparison (opens in a new tab) · <1%Leaves Neo4j out
- What Is GraphRAG? Architecture, GraphRAG vs RAG, Use Cases (opens in a new tab) · <1%
- 1%
- Building Knowledge Graphs with LLMs | GraphAcademy (opens in a new tab) · <1%
- GraphRAG: Knowledge Graphs for Generative AI | GraphAcademy (opens in a new tab) · <1%
- Building Knowledge Graphs with LLMs | GraphAcademy (opens in a new tab) · <1%
- GenAI Frameworks | Neo4j & GenerativeAI Fundamentals | GraphAcademy (opens in a new tab) · <1%
- Neo4j and Generative AI Workshop | GraphAcademy (opens in a new tab) · <1%
- 1%
- Consistency Models of NoSQL Databases (opens in a new tab) · <1%
- Real-Time Text-to-Cypher Query Generation with Large Language Models for Graph Databases (opens in a new tab) · <1%
- Utilizing Large Language Models for Hyper Knowledge Graph Construction in Mine Hoist Fault Analysis (opens in a new tab) · <1%
- Optimizing Legal Text Summarization Through Dynamic Retrieval-Augmented Generation and Domain-Specific Adaptation (opens in a new tab) · <1%
- Claim Knowledge Graph Construction and GraphRAG-Based Question-Answering System (opens in a new tab) · <1%
- DualGraphRAG: A Dual-View Graph-Enhanced Retrieval-Augmented Generation Framework for Reliable and Efficient Question Answering (opens in a new tab) · <1%
- LPG Semantic Ontologies: A Tool for Interoperable Schema Creation and Management (opens in a new tab) · <1%
- Tech Trend Analysis System: Using Large Language Models and Finite State Chain Machines (opens in a new tab) · <1%
