Innovative Project Solutions with LangChain's Language-Driven Approach

Here is a collection of LLM projects that I have created. Feel free to utilize these projects according to your needs. Harness the power of language and let these projects assist you in your various endeavors. Explore new possibilities and gain fresh insights with the help of these versatile language models. Don't hesitate to maximize your creativity with these projects and witness the wonders they can bring to your applications. Unlock the potential of artificial intelligence (AI) and embark on a journey of innovation and discovery. Together, let's surpass existing boundaries and discover new possibilities with this language technology.

Here is a list of the projects I have created:

1. Autonomous HR-ChatBot
2. Agentic RAG
3. Product Marketing Post

With these projects, you can optimize various aspects of your business using the advanced capabilities of language technology. I will also continue updating and creating new projects as time goes on.

Requirements

Make sure you have Python 3.10 or newer installed on your system.

Installation and Setup

1. Clone the Repository

   git clone https://github.com/fahmiaziz98/langchain_project.git
   cd langchain_project

2. Create Env

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install requirements

   pip install -r requirements.txt

4. Copy the example environment file and update it with your API key.

   cp .env.default .env

5. Edit the .env file to include your Cohere & TavilySearch API key:

   COHERE_API_KEY=your_cohere_api_key_here
   TAVILY_API_KEY=your_tavily_api_key_here
   ....

6. After the installation process is complete, move to the directory you want and follow each step.

Deactivating the Virtual Environment

After trying the application, you can deactivate the virtual environment by running the following command:

deactivate

Additional Information

• Get your API key at Cohere API Keys
• Get your API key at Tavily API Key

References

• Building LLM Apps