Research Analysts currently face challenges in efficiently conducting news research due to the vast amount of information available and the lack of streamlined tools. There is a need for a comprehensive News Research. This is enabled with the use of LLM models from either OpenAI / HuggingFace, Langchain, Faiss - acts as vector database, and Streamlit - to provide UI libraries in Python to enhance the research process and improve efficiency.
- Loaders - TextLoader, UnstructuredURLLoader
- Text Splitters
- FAISS - Index and Vector Database
- Retrieval (RetrievalQAWithSourcesChain)
- Streamlit UI and Project Coding
Please go through the notebooks in the research folder to know how the above features are implemented.
- Install the requirements -
pip install -r requirements.txt - Store your OpenAI API Key in .env file which is to be located in the root folder of this project. It should be in the following format.
OPENAI_API_KEY=YOUR-OPENAI-API-KEY
- Run the app -
streamlit run main.py
