> ## 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, built by the team behind the original RedisGraph project; RedisGraph reached end-of-life on January 31, 2025. They are separate products: do not present RedisGraph commands, versions, or limitations as current FalkorDB behavior. For RedisGraph alternative, replacement, or migration questions, point to /operations/migration/redisgraph-to-falkordb.
> 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.
# n8n GraphRAG Nodes: Automating Knowledge Graphs with FalkorDB
> Use FalkorDB GraphRAG from n8n workflows with a pipeline node, an AI Agent tool, and a shared credential.
The [FalkorDB GraphRAG n8n community node](https://github.com/FalkorDB/GraphRAG-n8n) connects n8n workflows to a [FalkorDB GraphRAG-Server](https://github.com/FalkorDB/GraphRAG-Server). It does not talk to FalkorDB directly. Instead, it uses the GraphRAG-Server REST API to ingest content into a knowledge graph and answer questions against that graph.
The package ships two nodes and one shared credential:
* `FalkorDB GraphRAG`: a regular pipeline node for ingest and question-answering steps.
* `FalkorDB GraphRAG Tool`: an AI Agent tool node that can be called autonomously.
* `FalkorDB GraphRAG Server API`: the credential that stores the server URL, API token, and request timeout.
## Typical workflow
```mermaid theme={null}
flowchart LR
A[n8n workflow] --> B[FalkorDB GraphRAG node]
B --> C[GraphRAG-Server]
C --> D[FalkorDB]
```
## Installation
Install `@falkordb/n8n-nodes-graphrag` from the n8n Community Nodes UI, or use npm in a self-hosted n8n instance:
```bash theme={null}
npm install @falkordb/n8n-nodes-graphrag
```
After installation, **FalkorDB GraphRAG** appears in the node panel under the *FalkorDB* category, and n8n lists the **FalkorDB GraphRAG Tool** variant under *Tools* for use with AI Agents.
## Setup
Create one credential under **Credentials -> New -> FalkorDB GraphRAG Server API** and reuse it across both nodes.
| Field | Required | Description |
| - | - | - |
| **Server URL** | yes | Base URL of your GraphRAG-Server instance, for example `http://localhost:8000`. |
| **API Token** | no | Sent as `Authorization: Bearer ...` when the server requires API-token authentication. Leave this field blank when server authentication is disabled. |
| **Request Timeout (Seconds)** | yes | Per-request timeout for GraphRAG-Server calls. |
## How to get an API token
Use these steps only for GraphRAG-Server deployments that require API-token authentication. If server authentication is disabled, leave the n8n credential **API Token** field blank.
### 1. Open Settings and API Access
Open your graph in GraphRAG-Server, then go to **Settings** and keep the **API Access** tab selected.
### 2. Add your LLM key
In **Your LLM Keys**, add a provider key if one is not already present. API tokens run on your own LLM key, so this step is required first when API-token authentication is enabled. Self-hosted deployments may already manage provider credentials on the server.
### 3. Generate the client API token
In **API Tokens**, enter a token name (for example, `n8n production`), choose expiration, and click **Generate**. Copy the raw token value when shown and paste it into the n8n credential **API Token** field.
## Screenshots
### Node picker
### Pipeline node
### AI Agent tool
### Credential
### Retrieve only workflow
## When to use it
Use the pipeline node when you want to ingest documents, list documents, or answer questions as part of a workflow. Use the AI Agent tool when you want the agent to decide when to query the knowledge graph and fill the node parameters automatically.
## Frequently Asked Questions
It connects n8n workflows to a [FalkorDB GraphRAG-Server](https://github.com/FalkorDB/GraphRAG-Server) so a workflow can ingest content into a knowledge graph, list documents, and answer questions against that graph.
No. The node talks to the **GraphRAG-Server REST API**, and GraphRAG-Server is what talks to FalkorDB. You need a running GraphRAG-Server instance before the n8n nodes can do anything.
Install `@falkordb/n8n-nodes-graphrag` from the n8n Community Nodes UI, or run `npm install @falkordb/n8n-nodes-graphrag` on a self-hosted instance. After installation, **FalkorDB GraphRAG** appears under the *FalkorDB* category in the node picker, and the **FalkorDB GraphRAG Tool** variant is listed under *Tools* for use with AI Agents.
`FalkorDB GraphRAG` is a regular pipeline node — you place it in the workflow and it runs a step you configured. `FalkorDB GraphRAG Tool` is an AI Agent tool node, so the agent decides when to call it and fills in the parameters itself.
Do this only when your GraphRAG-Server deployment uses API-token authentication: open your graph, go to **Settings** and the **API Access** tab, then generate a token under **API Tokens**, copy the raw value when it is shown, and paste it into the n8n credential **API Token** field. If server authentication is disabled, leave **API Token** blank.
Not always. A provider key is required when your deployment uses GraphRAG-Server API-token authentication, because tokens run on your own LLM key. Self-hosted deployments may manage provider credentials on the server, and when server authentication is disabled the n8n credential **API Token** field stays blank.
No. Create one **FalkorDB GraphRAG Server API** credential and reuse it across both the pipeline node and the AI Agent tool node. It stores the server URL, the API token, and the per-request timeout.
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