docs(integration): add dedicated bulk-loader page and expand Data import section

- Add integration/bulk-loader.md: installation, quick-start, key flags
  table, --enforce-schema usage with typed CSV headers, bulk-update
  command, and links to GitHub + GRAPH.BULK spec.
- integration/index.md: add Bulk Loader entry to the Topics list.
- index.md: expand the one-liner Data import section with a pip install
  command, basic usage, and a link to the new dedicated page.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Author: gkorland

index.md

@@ -258,7 +258,14 @@ The full list and links can be found on the [Client Libraries](/getting-started/
 
 ## Data import
 
-When loading large graphs from CSV files, we recommend using [falkordb-bulk-loader](https://github.com/falkordb/falkordb-bulk-loader)
+When loading large graphs from CSV files, use the [falkordb-bulk-loader](https://github.com/falkordb/falkordb-bulk-loader):
+
+```sh
+pip install falkordb-bulk-loader
+falkordb-bulk-insert GRAPHNAME -n nodes.csv -r edges.csv
+```
+
+See the [Bulk Loader documentation](/integration/bulk-loader) for the full reference.
 
 ## Mailing List / Forum
 

integration/bulk-loader.md

@@ -0,0 +1,110 @@
+---
+title: "Bulk Loader"
+description: "Import large graphs from CSV files into FalkorDB using the falkordb-bulk-loader tool"
+---
+
+# Bulk Loader
+
+The [falkordb-bulk-loader](https://github.com/falkordb/falkordb-bulk-loader) is a Python utility for building FalkorDB graphs from CSV files. It uses the `GRAPH.BULK` endpoint to import nodes and relationships efficiently in binary batches — much faster than issuing individual `CREATE` queries.
+
+## Requirements
+
+- Python 3.10 or later
+- A running FalkorDB instance (see [Get Started](https://docs.falkordb.com))
+
+## Installation
+
+```sh
+pip install falkordb-bulk-loader
+```
+
+## Quick Start
+
+Given two CSV files — `Person.csv` (nodes) and `KNOWS.csv` (relationships) — import them into a graph named `SocialGraph`:
+
+```sh
+falkordb-bulk-insert SocialGraph \
+  -n Person.csv \
+  -r KNOWS.csv
+```
+
+The label (for nodes) and relationship type (for relationships) are derived from the CSV filename. Multiple node and relation files can be provided by repeating the flags:
+
+```sh
+falkordb-bulk-insert SocialGraph \
+  -n Person.csv \
+  -n Country.csv \
+  -r KNOWS.csv \
+  -r VISITED.csv
+```
+
+## Connecting to FalkorDB
+
+By default the loader connects to `redis://127.0.0.1:6379`. Use `--redis-url` to point it at a different instance:
+
+```sh
+falkordb-bulk-insert SocialGraph \
+  --redis-url redis://myhost:6379 \
+  -n Person.csv
+```
+
+## Key Options
+
+| Flag | Extended flag | Description |
+|:----:|---------------|-------------|
+| `-u` | `--redis-url TEXT` | Server URL (default: `redis://127.0.0.1:6379`) |
+| `-n` | `--nodes TEXT` | Node CSV file (filename → label) |
+| `-N` | `--nodes-with-label TEXT` | Explicit label followed by node CSV file |
+| `-r` | `--relations TEXT` | Relationship CSV file (filename → type) |
+| `-R` | `--relations-with-type TEXT` | Explicit type followed by relationship CSV file |
+| `-o` | `--separator CHAR` | Field delimiter (default: `,`) |
+| `-d` | `--enforce-schema` | Require typed column headers (see below) |
+| `-j` | `--id-type TEXT` | Type of node ID property: `STRING` or `INTEGER` |
+| `-s` | `--skip-invalid-nodes` | Skip duplicate node IDs instead of erroring |
+| `-e` | `--skip-invalid-edges` | Skip edges with unknown endpoints instead of erroring |
+| `-i` | `--index Label:Property` | Create a range index after import |
+| `-f` | `--full-text-index Label:Property` | Create a full-text index after import |
+
+## Enforcing a Schema
+
+By default the loader infers each property's type. Use `--enforce-schema` (`-d`) when you want explicit control. Column headers must follow the `name:TYPE` format:
+
+**User.csv**
+```csv
+:ID(User),name:STRING,rank:INT
+0,"Alice",5
+1,"Bob",8
+```
+
+**FOLLOWS.csv**
+```csv
+:START_ID(User),:END_ID(User),weight:DOUBLE
+0,1,0.9
+1,0,0.4
+```
+
+```sh
+falkordb-bulk-insert SocialGraph \
+  --enforce-schema \
+  -n User.csv \
+  -r FOLLOWS.csv
+```
+
+Accepted type strings: `ID`, `START_ID`, `END_ID`, `IGNORE`, `STRING`, `INT` / `INTEGER` / `LONG`, `DOUBLE` / `FLOAT`, `BOOL` / `BOOLEAN`, `ARRAY`.
+
+## Bulk Updates
+
+The companion command `falkordb-bulk-update` reads a CSV in batches and issues a parameterized Cypher query for each row — useful for incremental updates or when you want full control over the Cypher:
+
+```sh
+falkordb-bulk-update SocialGraph \
+  --csv User.csv \
+  --query "MERGE (:User {id: row[0], name: row[1], rank: row[2]})"
+```
+
+> **Note:** `falkordb-bulk-update` commits changes incrementally. Sanitize your CSV inputs beforehand to avoid leaving the graph in a partially-updated state.
+
+## Further Reading
+
+- [GitHub repository](https://github.com/falkordb/falkordb-bulk-loader) — full CLI reference, input constraints, and ID namespaces
+- [GRAPH.BULK specification](/design/bulk-spec) — technical wire-format specification for the underlying endpoint

integration/index.md

@@ -17,5 +17,6 @@ Learn how to leverage FalkorDB's flexible APIs and SDKs to build high-performanc
 - [Apache Jena](./jena.md): Learn how to use FalkorDB with Apache Jena via the jena-falkordb-adapter.
 - [BOLT protocol support](./bolt-support.md): Learn how to connect to FalkorDB using the BOLT protocol.
 - [Spring Data FalkorDB](./spring-data-falkordb.md): Learn how to use FalkorDB with Spring Data for JPA-style object-graph mapping.
+- [Bulk Loader](./bulk-loader.md): Import large graphs from CSV files using the falkordb-bulk-loader Python utility.