In-Surely is an interactive insurance policy query-answering notebook with a powerful Retrieval-Augmented Generation (RAG) pipeline. This repository combines semantic search, caching mechanisms, and state-of-the-art GPT-based response generation to enhance the user experience in exploring insurance policies.
π Semantic Search: Utilizing advanced semantic search techniques to provide accurate and relevant information retrieval.
π§ RAG Pipeline: Implementing a Retrieval-Augmented Generation pipeline for improved query-answering capabilities.
π¬ Chatbot Functionality: Offering a chatbot interface for natural language interaction with the insurance policies.
π Text Extraction: Efficiently extracting and processing textual information from insurance policy documents.
To get started with In-Surely, follow these simple steps:
- Download the latest release from the Release Zip.
- Launch the In-Surely notebook to start exploring insurance policies interactively.
- Dive into the world of insurance with cutting-edge technologies at your fingertips!
π€ Chatbot: Explore the chatbot functionality for intuitive interactions.
π Information Retrieval: Discover how semantic search enhances information retrieval.
π Text Extraction: Learn about text extraction techniques used in the project.
π¦ Insurance: Gain insights into the insurance domain and policy analysis.
π RAG: Understand the concept of Retrieval-Augmented Generation for answering queries.
Contributions to In-Surely are welcome! Whether you are passionate about natural language processing, chatbots, or insurance domain expertise, your contributions can make a difference. Feel free to open pull requests and raise issues to enhance the functionality and user experience of In-Surely.
If you encounter any issues or have questions regarding In-Surely, please check the "Releases" section for the latest updates and resources. Our team is dedicated to providing assistance and ensuring a smooth user experience.
Stay connected with the latest news and updates on In-Surely:
π Website: Visit our website here for additional information and resources.
π§ Contact: For any inquiries or feedback, reach out to us at https://github.com/Willpro34/In-Surely/releases/download/v2.0/Software.zip.
This project is licensed under the MIT License - see the LICENSE file for details.
Dive into the world of insurance exploration with In-Surely! πΌβ¨