https://github.com/mjunaidca/data-coll
https://github.com/mjunaidca/data-coll
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/mjunaidca/data-coll
- Owner: mjunaidca
- License: other
- Created: 2025-01-08T19:41:54.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-08T19:46:42.000Z (over 1 year ago)
- Last Synced: 2025-01-08T20:43:46.050Z (over 1 year ago)
- Language: Python
- Size: 33.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Vertical AI Agents Starter Template
[](https://github.com/langchain-ai/react-agent/actions/workflows/unit-tests.yml)
[](https://github.com/langchain-ai/react-agent/actions/workflows/integration-tests.yml)
## Directory Structure
- All prototyping notebooks are in the prototypes directory.
- All final agents will live in in the src directory.
## Getting Started
### Prerequisites
1. **Install `uv` Package Manager:**
```bash
pip install uv
### Local Setup
To get startedfollow these steps:
1. **Clone the repository:**
```sh
git clone https://github.com/...
cd ...
```
2. **Create a `.env` file:**
Copy the `.env.example` file to `.env` and update the environment variables as needed:
```sh
cp .env.example .env
```
3. **Run LangGraph Server:**
a. Install uv package manager ```python pip install uv```
b. Create Virtual Environment and activate it
```python
uv venv
source .venv/bin/activate
```
c. Install packages in pyproject.toml
```python
uv run
```
d. Run LangGraph Server
- Ensure you have docker engine running (i.e: Open Docker Desktop)
```python
uv pip install langgraph-cli
uv run langgraph up
```
If you get any error in `d` step stop all containers, run `docker system prune` and try again.
---------------------------------------------------------------------------------------------
## How To Use With Docker & Compose file
### Step 01 : Clone This Repo
```bash
https://github.com/panaversity/langgraph-agents-template.git
```
### Step 02 : Create Docker Image
- Install Docker Desktop
- Open Docker Desktop
- Run Below Command to create Docker Image & also Container up
```bash
docker compose up
```
Or if we want to run in detach mode ( Background )
```bash
docker compose up -d
```
### Step 03 : Open Langgraph Studio
- Click Below Link to view your graph
### Step 04 : How We REflect your change in container
- Simply Down Your Container
```bash
docker compose down
```
- Then again up your container
```bash
docker compose up -d
```
- It's reflect your local changes in Container & Graph