9 skills found
leonyangdev / UltimateRAG一个按路线图逐步实现的 RAG 学习项目：从 Naive RAG → Advanced RAG → Agentic RAG → GraphRAG & Fine-tuning → RAGOps，在本地用 LangChain + 向量库把“文档问答”跑通，并逐步加入语义分块、混合检索、重排序、路由、自反思与工具调用等能力。 从最简单的 Demo 进化到企业级、甚至科研级的 RAG 系统。
datastaxdevs / Conference 2024 DevoxxFrom naive to advanced RAG: the complete guide
nicolamalizia / NotionRagAsk question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit
MohammedAly22 / AgenticRAGAgenticRAG is an advanced AI-powered retrieval-augmented generation (RAG) Agent designed to provide users with an interactive and intelligent conversational experience
FareedKhan-dev / 14 Rag FailuresEncountering 14 different Naive RAG fails and using KG to solve it
atarora / Rag TechniquesA git repo showcasing RAG Techniques for building Naive to Advance RAG solutions
uzumstanley / Naive RAG APPArtificial Intelligence
ayush585 / SmartChunkSmartChunk is a lightweight, structure-aware semantic chunking toolkit designed to supercharge RAG (Retrieval-Augmented Generation) and LLM pipelines. Unlike naive splitters that break text arbitrarily, SmartChunk respects document structure (headings, lists, tables, code blocks) and semantic flow, ensuring cleaner, more coherent chunks.
siddharth-Kharche / Naive RAG APPNo description available
