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拼好RAG:手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索;整合DeepSearch技术实现私域RAG的推理;自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG.
We believe that every SOTA result is only valid on its own dataset. RAGView provides a unified evaluation platform to benchmark different RAG methods on your specific data.
A Go library implementation of LightRAG - an advanced Retrieval-Augmented Generation (RAG) system that uniquely combines vector databases with graph database relationships to enhance knowledge retrieval.
A cloud-native RAG (Retrieval Augmented Generation) service API built on LightRAG framework, offering plug-and-play knowledge-enhanced generation capabilities.
KairosRAG is an enhanced framework built on top of LightRAG, introducing time-awareness, three-perspective retrieval expansion, adaptive schema induction, and agentic entity management for domain-specific and temporally-sensitive knowledge graphs.
🚀 Complete self-hosted AI stack with 40+ services: Transform YouTube videos & PDFs into AI podcasts (Open Notebook), local LLMs (Ollama CPU/GPU), workflow automation (n8n), AI agents (Flowise), vector databases (Qdrant), German TTS voice, and business tools. One-command Docker deployment. perfect for learning, development, and private teams.
An AI-powered (RAG) legal companion designed to provide international students with trusted and up-to-date immigration guidance directly from official U.S. government sources.