Main Purpose
The main purpose of the embedchain/embedchain repository is to provide an open-source RAG (Retrieve, Aggregate, Generate) framework.
Key Features
- RAG Framework: embedchain/embedchain offers a framework that enables users to retrieve information, aggregate it, and generate responses using AI models.
- Open-Source: The repository is open-source, allowing developers to contribute, modify, and use the code for their own projects.
- Collaboration: Users can collaborate with other developers and contribute to the development of the RAG framework.
Use Case
- Natural Language Processing: The embedchain/embedchain repository can be used for natural language processing tasks, such as question-answering systems, chatbots, and information retrieval.
- AI Model Integration: Developers can integrate AI models into the RAG framework to enhance the capabilities of their applications.
