> ## 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.

# Falkordb integrations

> Integrate with Falkordb using LangChain Python.

> What is `FalkorDB`?

> * FalkorDB is an `open-source database management system` that specializes in graph database technology.
> * FalkorDB allows you to represent and store data in nodes and edges, making it ideal for handling connected data and relationships.
> * FalkorDB Supports OpenCypher query language with proprietary extensions, making it easy to interact with and query your graph data.
> * With FalkorDB, you can achieve high-performance `graph traversals and queries`, suitable for production-level systems.

> Get started with FalkorDB by visiting [their website](https://docs.falkordb.com/).

## Installation and setup

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

## VectorStore

The FalkorDB vector index is used as a vectorstore,
whether for semantic search or example selection.

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from langchain_falkordb.vectorstore import FalkorDBVector
```

***

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