Neo4j
What is
Neo4j
?
- 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 with Neo4j by visiting their website.
Installation and Setupβ
- Install the Python SDK with
pip install neo4j
VectorStoreβ
The Neo4j vector index is used as a vectorstore, whether for semantic search or example selection.
from langchain_community.vectorstores import Neo4jVector
API Reference:
See a usage example
GraphCypherQAChainβ
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.
from langchain_community.graphs import Neo4jGraph
from langchain.chains import GraphCypherQAChain
API Reference:
See a usage example
Constructing a knowledge graph from textβ
Text data often contain rich relationships and insights that can be useful for various analytics, recommendation engines, or knowledge management applications. Diffbot's NLP API allows for the extraction of entities, relationships, and semantic meaning from unstructured text data. By coupling Diffbot's NLP API with Neo4j, a graph database, you can create powerful, dynamic graph structures based on the information extracted from text. These graph structures are fully queryable and can be integrated into various applications.
from langchain_community.graphs import Neo4jGraph
from langchain_experimental.graph_transformers.diffbot import DiffbotGraphTransformer
API Reference:
See a usage example
Memoryβ
See a usage example.
from langchain.memory import Neo4jChatMessageHistory