AI学习日志 | 鸢之声

Agent + RAG 学习目录

一、官方文档(首选)

模块 链接
LangChain RAG 教程 https://python.langchain.com/docs/tutorials/rag/
LangChain Agent 教程 https://python.langchain.com/docs/tutorials/agents/
LangGraph(Agent 编排) https://langchain-ai.github.io/langgraph/
LlamaIndex(RAG 链路) https://docs.llamaindex.ai/
OpenAI Cookbook https://cookbook.openai.com/
OpenAI AgentKit https://openai.com/index/introducing-agentkit/
Dify(低代码平台) https://docs.dify.ai/
Coze(扣子) https://www.coze.com/
RAGAS(评估框架) https://docs.ragas.io/

二、向量库与推理

内容 链接
Milvus 文档 https://milvus.io/docs
pgvector https://github.com/pgvector/pgvector
Neo4j(图数据库) https://neo4j.com/docs/
vLLM(推理加速) https://docs.vllm.ai/
Ollama(本地部署) https://ollama.com/
FlagEmbedding(bge-m3) https://github.com/FlagOpen/FlagEmbedding

三、开源项目合集

内容 链接
awesome-rag https://github.com/jina-ai/awesome-rag
awesome-llm-agents https://github.com/camel-ai/awesome-llm-agents
GraphRAG(微软) https://microsoft.github.io/graphrag/

四、免费课程

内容 链接
DeepLearning.AI 短课(LangChain、Function Calling 等,B站有搬运) https://www.deeplearning.ai/short-courses/

五、论文与博客

内容 链接
Lilian Weng: LLM Powered Autonomous Agents https://lilianweng.github.io/posts/2023-06-23-agent/
ReAct 论文 https://arxiv.org/abs/2210.03629
Self-RAG 论文 https://arxiv.org/abs/2310.11511
CRAG 论文 https://arxiv.org/abs/2401.15884