all-in-rag
View on GitHub🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.github.io/all-in-rag/
A hands-on, Chinese-language guide to building RAG applications, covering data preparation, embeddings, vector databases, retrieval strategies, generation, evaluation, and Graph RAG. Includes Python examples and end-to-end project walkthroughs.
Use Cases
Build document question-answering systemsCreate multimodal text-and-image retrievalImplement Graph RAG with knowledge graphsDevelop natural-language-to-SQL retrievalEvaluate and optimize RAG pipelines
Built With
- Language
- Python
- Frameworks
- LangChain · LlamaIndex · Milvus · Neo4j
Tags
RAG · tutorial · embeddings · vector search · multimodal RAG · Graph RAG · hybrid search · Text2SQL · RAG evaluation