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docs/extras/integrations/providers/neo4j.mdx

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+# Neo4j
+
+This page covers how to use the Neo4j ecosystem within LangChain.
+
+What is Neo4j?
+
+**Neo4j in a nutshell:**
+
+- Neo4j is an open-source database management system that specializes in graph database technology.
+- Neo4j allows you to represent and store data in nodes and edges, making it ideal for handling connected data and relationships.
+- Neo4j provides a Cypher Query Language, making it easy to interact with and query your graph data.
+- With Neo4j, you can achieve high-performance graph traversals and queries, suitable for production-level systems.
+- Get started quickly with Neo4j by visiting [their website](https://neo4j.com/).
+
+## Installation and Setup
+
+- Install the Python SDK with `pip install neo4j`
+
+## Wrappers
+
+### VectorStore
+
+There exists a wrapper around Neo4j vector index, allowing you to use it as a vectorstore,
+whether for semantic search or example selection.
+
+To import this vectorstore:
+
+```python
+from langchain.vectorstores import Neo4jVector
+```
+
+For a more detailed walkthrough of the Neo4j vector index wrapper, see [this notebook](/docs/integrations/vectorstores/neo4jvector.html)
+
+### GraphCypherQAChain
+
+There exists a wrapper around Neo4j graph database that allows you to generate Cypher statements based on the user input
+and use them to retrieve relevant information from the database.
+
+```python
+from langchain.graphs import Neo4jGraph
+from langchain.chains import GraphCypherQAChain
+```
+
+For a more detailed walkthrough of Cypher generating chain, see [this notebook](/docs/extras/use_cases/more/graph/graph_cypher_qa.html)