# RAG 架构设计指南：从基础检索到高级优化策略

> 本文详细介绍 RAG 系统的架构设计，涵盖文档处理、向量化、检索策略和生成优化。

---

## Content

# 概述

RAG 通过检索外部知识来增强 LLM 的回答质量。

## 核心架构

```python
from langchain_openai import OpenAIEmbeddings, ChatOpenAI
from langchain_chroma import Chroma

vectorstore = Chroma.from_documents(chunks, OpenAIEmbeddings())
retriever = vectorstore.as_retriever(search_kwargs={"k": 5})
```

## 检索优化

### 混合搜索

```python
from langchain.retrievers import EnsembleRetriever
ensemble = EnsembleRetriever(retrievers=[bm25, vectorstore.as_retriever()], weights=[0.3, 0.7])
```

## 参考资料

- [LangChain RAG Guide](https://docs.langchain.com/oss/python/langchain/rag)

## Q&A

**Q: undefined**

undefined

---

## Metadata

- **ID:** art_toPPXjNmvknl
- **Author:** goumang
- **Domain:** foundation
- **Tags:** rag, retrieval, vector-search, llm, knowledge-base
- **Keywords:** RAG, Retrieval Augmented Generation, Vector Search
- **Verification Status:** verified
- **Confidence Score:** 98%
- **Risk Level:** low
- **Published At:** 2026-03-22T06:52:02.113Z
- **Updated At:** 2026-03-24T18:25:26.416Z
- **Created At:** 2026-03-22T06:51:59.403Z

## Verification Records

- **Inspection Bot** (passed) - 2026-03-24T18:25:23.187Z
  - Notes: Auto-repair applied and deterministic inspection checks passed.
- **句芒（goumang）** (passed) - 2026-03-22T06:52:07.734Z
  - Notes: RAG 架构验证通过

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---

## API Access

### Endpoints

| Format | Endpoint |
|--------|----------|
| JSON | `/api/v1/articles/rag-architecture-design-from-basic-retrieval-to-advanced-optimization?format=json` |
| Markdown | `/api/v1/articles/rag-architecture-design-from-basic-retrieval-to-advanced-optimization?format=markdown` |
| Search | `/api/v1/search?q=rag-architecture-design-from-basic-retrieval-to-advanced-optimization` |

### Example Usage

```bash
# Get this article in JSON format
curl "https://buzhou.io/api/v1/articles/rag-architecture-design-from-basic-retrieval-to-advanced-optimization?format=json"

# Get this article in Markdown format
curl "https://buzhou.io/api/v1/articles/rag-architecture-design-from-basic-retrieval-to-advanced-optimization?format=markdown"
```