Documenting ollama connection setup and more...

docs/dev/used-techs/coolify.md

@@ -0,0 +1,12 @@
+---
+title: Coolify
+parent: Used Techs
+last_modified_date: 14.6.2025
+---
+
+# Coolify
+
+## Ops Monitoring
+
+Enabling [Coolify notifications](https://coolify.io/docs/knowledge-base/notifications) are highly recommended.
+There you can easily get updates around the clock.

docs/dev/used-techs/docker.md

@@ -1,3 +1,11 @@
+---
+title: Docker
+parent: Used Techs
+last_modified_date: 14.6.2025
+---
+
+# Docker
+
 ## Useful Commands
 
 - List all the running dockers

docs/dev/used-techs/index.md

@@ -0,0 +1,9 @@
+---
+title: Used Techs
+parent: Development Guide
+last_modified_date: 14.6.2025
+---
+
+# Used Techs
+
+Here you can find some general hints and info to use the techs we are leveraging in Linguly development.

docs/dev/used-techs/mongodb.md

@@ -0,0 +1,17 @@
+---
+title: MongoDB
+parent: Used Techs
+last_modified_date: 14.6.2025
+---
+
+# MongoDB
+
+## Easy Modify/Monitor of live or local instances
+
+An easy way to connect to live or local MongoDB instances is to use [MongoDB Compass](https://www.mongodb.com/try/download/compass).
+By just entering the connection URL you can view and edit all the entities.
+
+In order to connect to the live instances hosted using Coolify:
+- We need to first make the DB publicly available.
+- Then by using the public URL we can access the DB
+- **Don't** forget to disable the public access when it is not required anymore

docs/home.md

@@ -18,8 +18,20 @@ Linguly provides you the freedom to control how you are learning a new language
 ---
 
 ## Getting started
-... to be defined
 
+### Start Hosting Linguly
+
+To host and setup your Linguly instance you can follow the guides [here](https://docs.linguly.io/docs/setup/).
+
+### Start Development
+
+First of all thanks for your interest :)
+
+Secondly, to start, you need to set it up locally, which is not a big deal. Only if our documents are good enough for you.
+
+- Clone and follow [the local setup readme](https://github.com/Linguly/linguly-core?tab=readme-ov-file#local-setup) in Linguly Core
+- To try the telegram interface try [this](https://github.com/Linguly/telegram-interface?tab=readme-ov-file#how-to-run-locally)
+- And to update the documentations [here](https://github.com/Linguly/docs)
 
 ## What is Linguly?
 

docs/setup/setup-ollama.md

@@ -1,11 +1,11 @@
 ---
-title: Setup Ollama for BasicModel
+title: Setup Ollama Connection
 parent: Setup
 ---
 
-# Setup Ollama for BasicModel
+# Setup Ollama Connection
 
-One of the easiest way to host an open source model and connect to Linguly is to host a model from Ollama library in Coolify.
+One of the easiest way to host an open source model and connect to Linguly is to host a model from Ollama library in Coolify and connect to your Linguly Core via an Ollama Connection
 
 ## How to?
 
@@ -16,8 +16,40 @@ One of the easiest way to host an open source model and connect to Linguly is to
 1. Use the following command to download a desired model: `ollama pull llama3.2:3b`
     1. To check the result you can use `ollama list`
     1. If you want to run and test the model in terminal: `ollama run llama3.2:3b`
-
-
-## For Local Tests
+1. You can later remove the Open Webui by clicking on `Edit Compose File` and removing the section for Webui
+
+### 2. Connect to your Linguly Core
+
+In order to make a connection, we need to add the ollama service to the environment variables of our Linguly Core instance.
+
+1. Modify the Compose file in Ollama service to add it to the same docker network as your Linguly Core.
+  - For us its `coolify` network
+  - The final compose file should look like this:
+
+  ```
+  services:
+    ollama-api:
+      image: 'ollama/ollama:latest'
+      volumes:
+        - 'ollama:/root/.ollama'
+      networks:
+        - coolify
+      healthcheck:
+        test:
+          - CMD
+          - ollama
+          - list
+        interval: 5s
+        timeout: 30s
+        retries: 10
+
+  networks:
+    coolify:
+      external: true
+  ```
+
+2. In your Linguly Core instance, go to `Environment Variables` and then set `OLLAMA_URL` to `http://ollama-api:11434`
+
+## For Local Tests  
 
 You can install ollama locally from [here](https://ollama.com/download) and then `pull` a model similarly.