Langchain-Gemini is an advanced chatbot Q&A system that integrates the capabilities of Langchain and Gemini API to create a seamless conversational experience. By leveraging cutting-edge natural language processing (NLP) techniques and multimodal capabilities, this project enables intelligent, context-aware interactions that enhance user engagement and deliver precise answers.
Key Features:
- Langchain Framework: Structured language processing pipelines for complex query handling.
- Gemini API: Multimodal support for text, images, audio, and video inputs.
- Customizable: Tailored to specific datasets for domain-oriented applications.
- Scalable Backend: Designed for efficient deployment and real-world usage.
- Installation
- Usage
- File Structure
- Technologies Used
- Contributing
- License
- Acknowledgments
- Python 3.7 or higher
- API key for Gemini (obtainable from Gemini API Documentation)
- Required Python libraries (listed in requirements.txt)
- Langchain: Pipeline-based processing and memory management for complex language tasks.
- Gemini API: Multimodal data handling to extend chatbot capabilities.
- Python
- Hugging Face Transformers for NLP
- Streamlit (optional) for an interactive user interface
We welcome contributions to improve Langchain-Gemini. To contribute: 1- Fork the Repository. 2- Create a Branch: git checkout -b feature/your-feature-name 3- Commit Your Changes: git commit -m "Add feature: Your Feature Name" 4-Push to Your Branch: git push origin feature/your-feature-name
This project is licensed under the MIT License. See the LICENSE file for detailed terms.