Sun, 24 May 2026 23:57:15 +0000

Advanced RAG 101 - build agentic RAG with llama3

Get free HubSpot report of how AI is redefining startup GTM strategy: https://clickhubspot.com/4hx

🔗 Links
- Join my community: https://2ly.link/1zq90
- Follow me on twitter: https://twitter.com/jasonzhou1993
- Join my AI email list: https://www.ai-jason.com/
- My discord: https://discord.gg/eZXprSaCDE
- Corrective RAG agent: https://github.com/langchain-a....i/langgraph/blob/mai
- LlamaParse: https://github.com/run-llama/llama_parse
- Firecrawl: https://www.firecrawl.dev/
- Jerry Liu build production-ready RAG: https://www.youtube.com/watch?v=TRjq7t2Ms5I

⏱️ Timestamps
0:00 Intro
1:33 How to give LLM knowledge
3:05 Problem with simple RAG
5:55 Better Parser
9:01 Chunk size
11:40 Rerank
12:39 Hybrid search
13:10 Agentic RAG - Query translation
14:35 Agentic RAG - metadata filtering
15:52 Agentic RAG - Corrective RAG agent
17:33 Install LLama3
18:00 Code walkthrough

👋🏻 About Me
My name is Jason Zhou, a product designer who shares interesting AI experiments & products. Email me if you need help building AI apps! ask@ai-jason.com

#llama3 #rag #llamaparse #llamaindex #gpt5 #autogen #gpt4 #autogpt #ai #artificialintelligence #tutorial #stepbystep #openai #llm #chatgpt #largelanguagemodels #largelanguagemodel #bestaiagent #chatgpt #agentgpt #agent #babyagi