Build RAG applications using the LlamaIndex API
Alibaba Cloud Bailian supports building Retrieval-Augmented Generation (RAG) applications via the LlamaIndex API—ideal for private-knowledge Q&A, customer support, and similar use cases.
In this solution, LlamaIndex provides tooling and frameworks for building RAG applications, while Alibaba Cloud Bailian delivers data management capabilities and large language model (LLM) services.
This solution deploys knowledge bases in the cloud and uses the default intelligent document chunking logic along with the official vector embedding model. Custom document chunking strategies or custom embedding models are not supported.
Component List
| Component | Description |
|---|---|
| Embedding Model | Uses Bailian’s Embedding model |
| DashScopeRerank | Re-ranking component |
| DashScopeJsonNodeParser | JSON node parser |
| DashScopeCloudRetriever | Cloud-based knowledge base retriever |
| Cloud Knowledge Base Service | Leverages Alibaba Cloud Bailian’s cloud knowledge base and indexing services |
| Document Parsing | Intelligent document parsing and chunking |
Solution Overview
- Upload and manage documents using Bailian’s data management features
- Retrieve relevant content via LlamaIndex’s
DashScopeCloudRetriever - Generate responses using Bailian’s large language models