> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Memgraph integrations

> Integrate with Memgraph using LangChain Python.

> Memgraph is a high-performance, in-memory graph database that is optimized for real-time queries and analytics.
> Get started with Memgraph by visiting [their website](https://memgraph.com/).

## Installation and setup

* Install the Python SDK with `pip install langchain-memgraph`

## MemgraphQAChain

There exists a wrapper around Memgraph database that allows you to generate Cypher statements based on the user input
and use them to retrieve relevant information from the database.

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from langchain_memgraph.chains.graph_qa import MemgraphQAChain
from langchain_memgraph.graphs.memgraph import MemgraphLangChain
```

See a [usage example](/oss/python/integrations/graphs/memgraph)

## Constructing a knowledge graph from unstructured data

You can use the integration to construct a knowledge graph from unstructured data.

<Warning>
  The `langchain-experimental` package is no longer maintained. Examples that import from `langchain_experimental` may be outdated or broken. Use with caution.
</Warning>

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from langchain_memgraph.graphs.memgraph import MemgraphLangChain
from langchain_neo4j import LLMGraphTransformer
```

See a [usage example](/oss/python/integrations/graphs/memgraph)

## Memgraph tools and toolkit

Memgraph also provides a toolkit that allows you to interact with the Memgraph database.
See a [usage example](https://github.com/memgraph/langchain-memgraph).

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from langchain_memgraph import MemgraphToolkit
```

***

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