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Add graph construction to neo4j docs (#11716)

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Add graph construction section to Neo4j provider docs
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Tomaz Bratanic 2023-10-12 20:37:42 +02:00 committed by GitHub
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docs/docs/integrations/providers/neo4j.mdx
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@ -29,7 +29,7 @@ To import this vectorstore:
from langchain.vectorstores import Neo4jVector
```
For a more detailed walkthrough of the Neo4j vector index wrapper, see [this notebook](/docs/integrations/vectorstores/neo4jvector.html)
For a more detailed walkthrough of the Neo4j vector index wrapper, see [documentation](/docs/integrations/vectorstores/neo4jvector.html)
### GraphCypherQAChain
@ -41,4 +41,18 @@ from langchain.graphs import Neo4jGraph
from langchain.chains import GraphCypherQAChain
```
For a more detailed walkthrough of Cypher generating chain, see [this notebook](/docs/use_cases/graph/graph_cypher_qa.html)
For a more detailed walkthrough of Cypher generating chain, see [documentation](/docs/use_cases/graph/graph_cypher_qa.html)
### Constructing a knowledge graph from text
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.
```python
from langchain.graphs import Neo4jGraph
from langchain_experimental.graph_transformers.diffbot import DiffbotGraphTransformer
```
For a more detailed walkthrough generating graphs from text, see [documentation](/docs/use_cases/graph/diffbot_graphtransformer.html)