wiki-ingest: RAG从入门到精通系列1

wiki/entities/LangChain.md

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+---
+title: "LangChain"
+type: entity
+tags: [llm, framework, rag, document-loading]
+sources: ["RAG从入门到精通系列1：基础RAG"]
+last_updated: 2026-04-16
+---
+
+## Basic Information
+- **Type**: LLM Application Framework
+- **Source**: RAG从入门到精通系列1：基础RAG
+
+## Definition
+LangChain is a framework for building LLM applications, providing over 160 different document loaders for loading data from various sources, as well as components for building RAG pipelines.
+
+## Key Features
+- **Document Loaders**: 160+ loaders for various data sources
+- **Chain Abstraction**: Link retrieval and generation components together
+- **Retriever Interface**: Unified abstraction for retrieval components
+- **PromptTemplate**: Template system for constructing prompts
+- **Integration**: Works with various LLMs (Qwen, GPT-4, Claude, etc.) and vector databases (Qdrant, Chroma, Pinecone, etc.)
+
+## Applications in RAG
+- Loading external documents via document loaders
+- Splitting documents into chunks (Splits)
+- Creating retrievers from vector stores
+- Chaining retrieval and generation into a unified pipeline
+- Converting raw AIMessage outputs to clean string results
+
+## Related Concepts
+- [[RAG]]：LangChain is commonly used to build RAG pipelines
+- [[LlamaIndex]]：Alternative framework for building LLM applications
+- [[向量数据库]]：Vector stores integrated with LangChain
+- [[Qdrant]]：Vector database mentioned in RAG tutorials
+
+## Related Entities
+- [[Qwen]]：LLM often used with LangChain