Provides the core capabilities for building modern AI applications.
Included skill modules
1. RAG Implementation
- Core value: Build a question-answering system based on a private knowledge base.
- Key technologies: vector database, text chunking, retrieval-augmented generation.
- Use cases: intelligent customer service, document Q&A assistant.
2. LangChain Architecture
- Core value: Master the general framework for LLM application development.
- Key technologies: Chains, Agents, Memory, Tools.
- Use cases: complex AI workflow orchestration, Agent development.
How to use
- RAG development: "Please refer to the RAG Implementation and help me design the architecture of a document Q&A system."
- Agent orchestration: "Please use the LangChain Architecture to help me write an Agent that can search the internet."