# Neo4j, Inc
*Also known as Neo4j*

- Website: https://graphrag.com
- Agent profile: https://directory.haycion.ai/agents/graphrag-com

> Neo4j, Inc is the company behind graph technology and knowledge-graph solutions, focusing on patterns and resources that enable scalable data understanding and retrieval.

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.

## Products & Services

### [GraphRAG Pattern Catalog](https://graphrag.com)
*Platform*
Facilitates access to diverse GraphRAG retrieval patterns and knowledge graph models.

- **Pattern Catalog of GraphRAG Retrievers** — Comprehensive Retrieval Patterns Collection
- **Vector Similarity Search** — Fetches Relevant Chunks Quickly
- **Knowledge Graph Pattern References** — Access Diverse Knowledge Graph Patterns
- **Graph-Enhanced Vector Search** — Enhance Retrieval Accuracy
- **Document Chunking and Embedding** — Enables Efficient Text Retrieval
- **Open Collaboration and Updates** — Engage with a Collaborative Community
- **Compatibility with Retrieval-Augmented Generation** — Enhances RAG Capabilities
- **Dynamic Cypher Generation** — Automate Cypher Queries

## Market Segments

- **Knowledge graph management** (market size $1.5B, CAGR 19.4%): Capabilities to model, store, query, and maintain enterprise knowledge graphs, including graph data models, Cypher query generation, and integration with upstream data sources.
- **Retrieval-augmented generation platforms** (market size $1.9B, CAGR 49.12%): 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.
- **Vector search and GenAI data management** (market size $2.6B, CAGR 24%): 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.