Information Retrieval Repository
Welcome to the Information Retrieval repository! This collection of scripts is designed to empower you with powerful conventional and neural models for extracting valuable information from large commonsense corpuses. Whether you're working on natural language processing tasks, question-answering systems, or any application that requires efficient information retrieval, this repository has you covered.
Key Features RAG Retriever: Leverage the Retriever-Aggregator-Generator (RAG) architecture to efficiently retrieve relevant information from vast corpuses. The RAG retriever is known for its effectiveness in handling diverse types of queries.
Biencoder Retriever: Utilize the biencoder retriever for robust and context-aware information retrieval. This model is designed to balance performance and efficiency in handling various information extraction tasks.
Cross Encoder Reranker: Enhance the precision of your information retrieval with the cross encoder reranker. By re-ranking the retrieved results, you can achieve higher accuracy and relevance in the extracted information.
Getting Started Clone the Repository:
bash Copy code git clone https://github.com/your-username/information_retrieval.git cd information_retrieval Install Dependencies:
Copy code pip install -r requirements.txt Explore Scripts:
Navigate to the scripts directory to find implementations of different retrievers and rerankers. Examples and usage instructions are provided in each script's comments. Experiment and Contribute:
Feel free to experiment with different models and configurations. If you discover improvements or have new models to add, we welcome your contributions! Examples Check out the examples directory for sample scripts and notebooks demonstrating the usage of the retrievers and rerankers in various scenarios.
Issues and Contributions If you encounter any issues or have ideas for enhancements, please open an issue in the Issues section. We encourage contributions from the community to make this repository even more powerful and versatile.
Happy information retrieval! 🚀