{"schemaVersion":1,"profileUrl":"https://nowen.ai/agents/graphrag-com","markdownUrl":"https://nowen.ai/agents/graphrag-com.md","jsonUrl":"https://nowen.ai/agents/graphrag-com.json","name":"Neo4j, Inc","nickname":"Neo4j","website":"https://graphrag.com","industry":"Data Platforms","status":{"trust":"unclaimed","text":"Unclaimed: compiled by Nowen from public sources, not reviewed by the company"},"updatedAt":"2026-09-06T23:26:35.974Z","summary":"Neo4j, Inc is the company behind graph technology and knowledge-graph solutions, focusing on patterns and resources that enable scalable data understanding and retrieval.","description":"Neo4j, Inc is a technology company that develops graph-based data platforms and knowledge-graph solutions. It focuses on enabling retrieval-augmented information access and related data integration patterns that leverage connected data. The organization serves developers and organizations looking to organize, query, and derive insights from complex networks of information.","mission":"Advance retrieval-augmented generation using knowledge graphs, providing patterns and resources to help developers build graph-powered data solutions.","directory":{"industryName":"Data Platforms","agentCount":39,"indexable":true,"hubUrl":"https://nowen.ai/industry/data-platforms"},"aiReaderFamilies":["Amazon"],"products":[{"name":"GraphRAG Pattern Catalog","type":"Platform","url":"https://graphrag.com","summary":"Facilitates access to diverse GraphRAG retrieval patterns and knowledge graph models.","description":"GraphRAG Pattern Catalog is a Neo4j, Inc. offering that catalogs GraphRAG retrieval patterns and related knowledge graph models and retrievers used for retrieval augmented generation. It provides an open catalog of patterns such as Basic Retriever, Pattern Matching, Cypher Templates, Graph-Enhanced Vector Search, Metadata Filtering, and Parent-Child Retriever, with community updates and references.","pricing":{},"features":[{"name":"Pattern Catalog of GraphRAG Retrievers","value":"Comprehensive Retrieval Patterns Collection","valueDescription":"Offers a robust list of retrieval patterns that help users implement effective information retrieval solutions."},{"name":"Vector Similarity Search","value":"Fetches Relevant Chunks Quickly","valueDescription":"Utilizing vector similarity search, this feature ensures that the system can quickly identify and retrieve the most relevant text chunks corresponding to a user's query, optimizing response time and relevance."},{"name":"Knowledge Graph Pattern References","value":"Access Diverse Knowledge Graph Patterns","valueDescription":"Users can explore various graph retrieval patterns essential for effective data extraction."},{"name":"Graph-Enhanced Vector Search","value":"Enhance Retrieval Accuracy","valueDescription":"Combines vector search with graph relationships, ensuring more precise and contextually relevant results."},{"name":"Document Chunking and Embedding","value":"Enables Efficient Text Retrieval","valueDescription":"This feature allows users to preprocess large documents by splitting them into smaller, more manageable chunks which are then embedded for better search efficiency and accuracy in retrieval operations."},{"name":"Open Collaboration and Updates","value":"Engage with a Collaborative Community","valueDescription":"Encourages user contributions and discussions, fostering a rich environment for ongoing learning."},{"name":"Compatibility with Retrieval-Augmented Generation","value":"Enhances RAG Capabilities","valueDescription":"This feature allows the Vector Retriever to function as part of a larger system that leverages RAG, thereby improving the overall information retrieval process and user experience."},{"name":"Dynamic Cypher Generation","value":"Automate Cypher Queries","valueDescription":"Allows users to dynamically generate queries, significantly enhancing the efficiency of retrieval processes."}]}],"audiences":[],"segments":[{"name":"Knowledge graph management","description":"Capabilities to model, store, query, and maintain enterprise knowledge graphs, including graph data models, Cypher query generation, and integration with upstream data sources.","size":1.5,"cagr":19.4,"color":1,"productNames":["GraphRAG Pattern Catalog"],"methodology":"Multiple industry reports in the search results estimate the knowledge-graph market at roughly USD 1.3–1.7B in 2024–2025 with multi-year forecasts to ~USD 8–9B by the early-to-mid 2030s. GMI and MarketResearchFuture provide similar CAGR estimates (~18.6–19.4%), while MarketsandMarkets projects a higher CAGR (31.6%) to a 2032 figure. I select a current market size of ~USD 1.5B (2025) and a growth potential ~19.4% CAGR as the consensus-aligned estimate supported by multiple sources.","citations":[{"url":"https://www.gminsights.com/industry-analysis/knowledge-graph-market","text":"The global knowledge graph market was valued at USD 1.5 billion in 2025... to USD 8.4 billion in 2035 at a CAGR of 19.4%."},{"url":"https://www.marketsandmarkets.com/PressReleases/knowledge-graph.asp","text":"projected to reach USD 9.88 billion by 2032 from USD 1.90 billion in 2026, at a compound annual growth rate (CAGR) of 31.6%."},{"url":"https://www.marketresearchfuture.com/reports/knowledge-graph-market-23387","text":"The Knowledge Graph Market Size was estimated at 1.268 USD Billion in 2024... grow from USD 1.505 Billion in 2025 to USD 8.299 Billion by 2035, CAGR 18.62%."}]},{"name":"Retrieval-augmented generation platforms","description":"Capabilities that integrate enterprise data retrieval with large language models to provide contextually accurate, up-to-date responses using RAG, vector storage, and secure enterprise data connectors.","size":1.85,"cagr":49.12,"color":2,"productNames":["GraphRAG Pattern Catalog"],"methodology":"Primary estimate uses Precedence Research’s explicit 2025 market size and forecast (USD 1.85B in 2025; CAGR 49.12% 2025–2034). This is corroborated by AtScale’s citation of a Grand View Research estimate (~USD 1.043B in 2023) and a similar high-growth projection (44.7% to 2030), indicating strong consensus on rapid multi-year CAGR.","citations":[{"url":"https://www.precedenceresearch.com/retrieval-augmented-generation-market","text":"The global retrieval augmented generation market size is accounted at USD 1.85 billion in 2025 ... expanding at a CAGR of 49.12% from 2025 to 2034."},{"url":"https://www.atscale.com/glossary/retrieval-augmented-generation-rag/","text":"global RAG market size (estimated at $ 1,042.7 million in 2023) is projected to grow 44.7% from 2024 to 2030."}]},{"name":"Vector search and GenAI data management","description":"Semantic vector search, hybrid retrieval, and AI-focused data features that accelerate generative AI applications and enable agent memory, semantic caching, and fast similarity search.","size":2.6,"cagr":24,"color":3,"productNames":["GraphRAG Pattern Catalog"],"methodology":"Industry reports for the vector-database / vector search market converge on a 2025 market size around USD 2.4–2.65 billion and projected CAGRs in the low-to-mid 20% range driven by GenAI, LLMs, and RAG adoption. I selected USD 2.6B and a 24% CAGR as a consensus midpoint across multiple analyst forecasts (MarketsandMarkets, Fortune Business Insights, GMI Insights, SNS Insider).","citations":[{"url":"https://www.marketsandmarkets.com/Market-Reports/vector-database-market-112683895.html","text":"Market Size in 2025: USD 2,652.1 Million; CAGR 27.5% (2025-2030)"},{"url":"https://www.fortunebusinessinsights.com/vector-database-market-112428","text":"The global vector database market size was valued at USD 2.58 billion in 2025; CAGR 24.% (2025–2034)"},{"url":"https://www.gminsights.com/industry-analysis/vector-database-market","text":"2025 Market Size: USD 2.55 Billion; CAGR (2026–2035): 22.30%"},{"url":"https://www.snsinsider.com/reports/vector-database-market-5881","text":"Vector Database Market was valued at USD 2.44 billion in 2025; CAGR 23.54% (2026–2035)"}]}],"faq":[],"comparisons":[],"sources":[{"url":"https://graphrag.com","text":"Neo4j, Inc"},{"url":"https://www.gminsights.com/industry-analysis/knowledge-graph-market","text":"The global knowledge graph market was valued at USD 1.5 billion in 2025... to USD 8.4 billion in 2035 at a CAGR of 19.4%."},{"url":"https://www.marketsandmarkets.com/PressReleases/knowledge-graph.asp","text":"projected to reach USD 9.88 billion by 2032 from USD 1.90 billion in 2026, at a compound annual growth rate (CAGR) of 31.6%."},{"url":"https://www.marketresearchfuture.com/reports/knowledge-graph-market-23387","text":"The Knowledge Graph Market Size was estimated at 1.268 USD Billion in 2024... grow from USD 1.505 Billion in 2025 to USD 8.299 Billion by 2035, CAGR 18.62%."},{"url":"https://www.precedenceresearch.com/retrieval-augmented-generation-market","text":"The global retrieval augmented generation market size is accounted at USD 1.85 billion in 2025 ... expanding at a CAGR of 49.12% from 2025 to 2034."},{"url":"https://www.atscale.com/glossary/retrieval-augmented-generation-rag/","text":"global RAG market size (estimated at $ 1,042.7 million in 2023) is projected to grow 44.7% from 2024 to 2030."},{"url":"https://www.marketsandmarkets.com/Market-Reports/vector-database-market-112683895.html","text":"Market Size in 2025: USD 2,652.1 Million; CAGR 27.5% (2025-2030)"},{"url":"https://www.fortunebusinessinsights.com/vector-database-market-112428","text":"The global vector database market size was valued at USD 2.58 billion in 2025; CAGR 24.% (2025–2034)"},{"url":"https://www.gminsights.com/industry-analysis/vector-database-market","text":"2025 Market Size: USD 2.55 Billion; CAGR (2026–2035): 22.30%"},{"url":"https://www.snsinsider.com/reports/vector-database-market-5881","text":"Vector Database Market was valued at USD 2.44 billion in 2025; CAGR 23.54% (2026–2035)"}]}