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RAG Introduction

Alibaba Cloud Bailian RAG is an enterprise-grade knowledge base and retrieval service. After you upload documents, the platform automatically parses, chunks, vectorizes, and indexes them, then provides knowledge retrieval and streaming Q&A through APIs—connecting your private knowledge with cutting-edge large language models.

Alibaba Cloud Bailian RAG provides end-to-end capabilities from data ingestion to knowledge services: after documents are uploaded, the platform automatically parses, chunks, vectorizes, and indexes them, then provides multi-path retrieval and LLM-based streaming Q&A through the console or APIs.
  • Quick start: build your first knowledge base in five steps and complete one retrieval and Q&A call.
  • Core concepts: how RAG, chunking, vectorization, indexing, and retrieval work together.
  • Playground: try retrieval and Q&A online in the console.
  • Dataset: import data from files, spreadsheets, MySQL, OSS, and more.
  • Create a knowledge base: choose a knowledge base type and configure parsing and chunking strategies.
  • Knowledge retrieval: multi-path recall and agentic multi-turn retrieval.
  • Knowledge Q&A: streaming RAG question-answering powered by large language models.
  • Application integration: integrate through APIs, MCP, CLI, and Skill.
  • RAG API reference: APIs for knowledge bases, documents, chunks, retrieval, and Q&A.
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