Goal: My main goal is to walk you through my initial setup for FalkorDB, then proceeding to create a KnowledgeGraph and further try to visualize it.

#Implementation

Pre-requisites

1. Redis cli

Redis is not supported on windows, so if you are using a windows OS, you would need to install WSL2.

Once WSL2 is installed, you would need to install and enable redis.

--I followed the instructions provided here.-- https://redis.io/docs/latest/operate/oss_and_stack/install/install-redis/install-redis-on-windows/

2. Docker

Set-up

1. Start with loading docker first

   --Usually I prefer to load docker right after I restart my computer, otherwise it takes too long or sometimes doesn’t load if many (or less) applications are already running.--

   

The command provided is taken directly from FalkorDB website.

Command1:**

docker run -p 6379:6379 -p 3000:3000 -it --rm -v ./data:/data falkordb/falkordb:edge

2. Open ubuntu

   (keep the other docker terminal running)

   Command 2:

   redis-cli ping

   

   --the second command is just to test if redis cli is working properly.--

3. Manually loading FalkorDB into Redis using a local connection

   Command 3:

   docker ps

   --to check the Container ID --

   

Command 4:

docker exec -it 01f65346240c redis-cli

Command 5:

MODULE LIST (optional)

Creating a knowledge Base

1. I will be creating a Knowledge Base based on the command’s documentation provided by FalkorDB. It uses Cypher language.

The script file I used is based on an already created UML Class diagram of the University from my COMP 370 course. I attached the reference for that in the end.

The script is available in the repository.

2. Copying the script file to the container

   Command 6:

   docker cp <script_location> <container_ID>:/<Filename_of_your_choice.lua>

   --we are copying the script file to the docker container--

   

3. Running the script file

   Command 7:

   docker exec -it < container_ID> bash

   Command 8:

   /FalkorDB# redis-cli --eval /< Filename_of_your_choice.lua>

   --This will create the whole knowledge base including nodes and edges.—

Visualizing the Knowledge Graph

Go to the terminal where docker is running and then open the link provided:

http://localhost:3000

--ignore everything and just click connect—

--select graph: University Graph--

--where you see the ‘Query 1’, type in the following query to view both the nodes and the relationships—

Query: MATCH (n)-[r]->(m) RETURN n, r, m LIMIT 100

References for implementation.

1)"GitHub - FalkorDB/FalkorDB: A super fast Graph Database uses GraphBLAS ...." https://github.com/FalkorDB/FalkorDB.

2. "Install Redis | Docs." https://redis.io/docs/latest/operate/oss_and_stack/install/install-redis/.

3. UML Class Diagram

4. "Commands - FalkorDB Docs." https://docs.falkordb.com/commands/.