Creating a simple Retrieval Augmented Generation (RAG) system using Weaviate and LangChain

This project utilizes language modeling techniques and Weaviate's vector database to retrieve YouTube video content and generate text based on user queries. It incorporates pretrained models and tokenizers from Hugging Face Transformers for text generation and semantic similarity tasks.

Customize this to include your own Youtube Channel!

• Python 3.6 or higher
• PyTorch
• Transformers from Hugging Face
• Weaviate Python SDK
• Other dependencies listed in requirements.txt

1. Clone the Repository:

   git clone https://github.com/srimoyee1212/VectorRAG.git
   cd Vector-RAG
   

2. Install Dependencies

   pip install -r requirements.txt
   

3. Configuration Obtain your Weaviate key from Weaviate Free Trial [https://weaviate.io/]

4. Run your Code

   python main.py