RAGLink是一个开源的Retrieval-Augmented Generation框架，旨在通过结合检索和大模型生成技术，提升自然语言处理任务的性能和效率。为用户提供了一个强大、灵活且易于扩展的开发环境。
Project description
RAGLink
RAGLink是一个开源的Retrieval-Augmented Generation框架，旨在通过结合检索和大模型生成技术，提升自然语言处理任务的性能和效率。为用户提供了一个强大、灵活且易于扩展的开发环境。
🔑核心特性
- 检索增强：通过检索技术，框架能够快速从大量数据中检索相关信息，为生成任务提供上下文支持。
- 生成能力：集成了多种生成大模型，能够根据检索到的信息生成流畅、准确的文本。
- 模块化设计：采用模块化设计，便于开发者根据需求定制和扩展功能。
🗺️集成
AI大模型
- OpenAI
- Minimax
- Deepseek
向量数据库
- Milvus
- Qdrant
Embeddings模型
- OpenAIEmbeddings
- MiniMaxEmbeddings
- bce-embedding-base_v1
Reranker模型
- bce-embedding-base_v1
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