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

> ## Agent Instructions
> FalkorDB is a graph database that speaks the Redis protocol. Queries are issued as OpenCypher through the GRAPH.QUERY and GRAPH.RO_QUERY commands, not over Bolt or a SQL connection.
> FalkorDB implements a subset of OpenCypher with proprietary extensions. Do not assume Neo4j-only syntax or procedures are available — check /cypher/cypher-support and /cypher/known-limitations before using a clause.
> FalkorDB is the successor to RedisGraph, but they are separate products. Do not present RedisGraph commands, versions, or limitations as current FalkorDB behavior.
> Use the official clients listed in /getting-started/clients rather than generic Redis or Neo4j drivers, and prefer the language the user is already working in.
> Configuration parameters are set with GRAPH.CONFIG SET or at startup; cite the exact parameter name from /getting-started/configuration rather than inventing one.
> This site covers four products: FalkorDB (core), FalkorDB Cloud, FalkorDB Enterprise, and the GraphRAG SDK. Name which one an answer applies to, since setup and operations differ.

# Integration

> Integrate FalkorDB with your applications and workflows using its REST API, official client SDKs, and framework adapters for low-latency graph workloads.

The Integration section of the FalkorDB documentation provides all the necessary guidance for connecting
and integrating FalkorDB with your applications and workflows.
Learn how to leverage FalkorDB's flexible APIs and SDKs to build high-performance, low-latency graph applications.

## Topics in This Section

* [REST API](/integration/rest): Learn how to interact with FalkorDB using its REST API for seamless integration with your applications.
* [Kafka Connect](/integration/kafka-connect): Learn how to interact with FalkorDB using Kafka Connect sink to replicate data from third-party applications.
* [Apache Jena](/integration/jena): Learn how to use FalkorDB with Apache Jena via the jena-falkordb-adapter.
* [BOLT protocol support](/integration/bolt-support): Learn how to connect to FalkorDB using the BOLT protocol.
* [Spring Data FalkorDB](/integration/spring-data-falkordb): Learn how to use FalkorDB with Spring Data for JPA-style object-graph mapping.
* [Snowflake Integration](/integration/snowflake): Learn how to run graph database operations directly within your Snowflake environment using the FalkorDB Native App.
* [n8n GraphRAG Nodes](/integration/n8n): Learn how to use the FalkorDB GraphRAG n8n community nodes for ingestion and question answering in workflows.
* [PyTorch Geometric](/integration/pyg): Train Graph Neural Networks directly on graphs stored in FalkorDB using PyG's remote backend interface.
* [Bulk Loader](/integration/bulk-loader): Import large graphs from CSV files using the falkordb-bulk-loader Python utility.

## Frequently Asked Questions

<AccordionGroup>
  <Accordion title="What integration options does FalkorDB support?">
    FalkorDB supports multiple integration paths including a **REST API**, **Bolt protocol** (experimental), **Kafka Connect** sink, **Apache Jena** for RDF/SPARQL, **Spring Data** for Java applications, **Snowflake** native app, **n8n** community nodes, **PyTorch Geometric** for GNNs, and a **bulk loader** for CSV imports.
  </Accordion>

  <Accordion title="Which integration should I use for my application?">
    For web applications, use the **REST API** or official client libraries. For Java/Spring apps, use **Spring Data FalkorDB**. For workflow automation, use the **FalkorDB GraphRAG n8n** community nodes. For streaming pipelines, use **Kafka Connect**. For machine learning on graphs, use **PyTorch Geometric**. For RDF/SPARQL workloads, use the **Apache Jena** adapter.
  </Accordion>

  <Accordion title="Can I use FalkorDB with Neo4j drivers?">
    Yes, FalkorDB provides experimental **Bolt protocol support**, allowing you to connect using standard Neo4j drivers. However, for production use cases, the official FalkorDB client libraries are recommended.
  </Accordion>

  <Accordion title="How do I load large datasets into FalkorDB?">
    Use the **falkordb-bulk-loader** tool to import nodes and relationships from CSV files in efficient binary batches. This is significantly faster than issuing individual `CREATE` queries.
  </Accordion>
</AccordionGroup>