mirror of
https://github.com/hwchase17/langchain
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45 lines
1.5 KiB
Plaintext
45 lines
1.5 KiB
Plaintext
# Neo4j
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This page covers how to use the Neo4j ecosystem within LangChain.
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What is Neo4j?
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**Neo4j in a nutshell:**
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- Neo4j is an open-source database management system that specializes in graph database technology.
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- Neo4j allows you to represent and store data in nodes and edges, making it ideal for handling connected data and relationships.
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- Neo4j provides a Cypher Query Language, making it easy to interact with and query your graph data.
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- With Neo4j, you can achieve high-performance graph traversals and queries, suitable for production-level systems.
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- Get started quickly with Neo4j by visiting [their website](https://neo4j.com/).
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## Installation and Setup
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- Install the Python SDK with `pip install neo4j`
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## Wrappers
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### VectorStore
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There exists a wrapper around Neo4j vector index, allowing you to use it as a vectorstore,
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whether for semantic search or example selection.
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To import this vectorstore:
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```python
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from langchain.vectorstores import Neo4jVector
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```
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For a more detailed walkthrough of the Neo4j vector index wrapper, see [this notebook](/docs/integrations/vectorstores/neo4jvector.html)
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### GraphCypherQAChain
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There exists a wrapper around Neo4j graph database that allows you to generate Cypher statements based on the user input
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and use them to retrieve relevant information from the database.
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```python
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from langchain.graphs import Neo4jGraph
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from langchain.chains import GraphCypherQAChain
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```
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For a more detailed walkthrough of Cypher generating chain, see [this notebook](/docs/use_cases/more/graph/graph_cypher_qa.html)
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