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An open-source RAG chatbot powered by Weaviate vector database, supporting multiple data import methods, LLM backends, and embedding models for out-of-the-box retrieval-augmented generation.
An open-source RAG chatbot powered by Weaviate vector database, supporting multiple data import methods, LLM backends, and embedding models for out-of-the-box retrieval-augmented generation.
Open-source BGE series embedding models and retrieval tools from BAAI, providing state-of-the-art text embeddings and rerankers for Chinese and English, widely used in RAG systems and agent retrieval pipelines.
LightRAG is a simple and fast Retrieval-Augmented Generation framework using graph-enhanced retrieval, published at EMNLP 2025.
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs for building logical reasoning and factual Q&A solutions for professional domain knowledge bases, effectively overcoming the limitations of traditional RAG vector similarity models.
A production-ready Agentic RAG system with RESTful API, featuring multimodal document ingestion, hybrid search, knowledge graph construction, and agent-driven retrieval-augmented generation workflows.